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Ans. How xx we xxxxx and xxx complicated xx our xxxxx That xx a xxxxxxxxxxx question xxx article xxxxx defines xxxxxxxxx as x type xx information xx a xxxxxxxxxx message xxxx living xxxxxxx continuously xx... ....... How xx we xxxxx and xxx complicated xx our xxxxx That xx a xxxxxxxxxxx question xxx article xxxxx defines xxxxxxxxx as x type xx information xx a xxxxxxxxxx message xxxx living xxxxxxx continuously xxxxxxx update xxx draw xx to xxx and xxxxxxx It xxxx presents xxx General xxxxxx of xxxxxxxxxxx GTI xx frame xxx different xxxxx and xxxxxx of xxxxxxx i x the xxxxxxxx matter-energy xxxxxx knowledge xxxxxxxxxx and xxxxxxx realms xxx how xxxxxxxxxxx processing xxxxxxxxx each xxxxxxxxxx learning xxxxxx with xxx genome x pre-installed xxxxxxxxxxx which xxxx expands xxxx ongoing xxxxxxx experience xxxx translates xxxxxxxx information xxxx mental xxxxxxxxxx Because xxxx observer x knowledge xxxxxxx and xx answer xxxxxxxxx like xx the xxxxx a xxxxxxxx depends xx the xxxxxxxxxxx that xxxx party xxxxxx to xxx conversation xxx the xxxxx and xxxxxxxx they xxx to xxxxxx that xxxxxxxxxxx and xxx other x response xxxxxx the xxxxxxx reviews xxx history xx artificial xxxxxxxxxxx From xxx beginning xxxxxxxx computing xxxxx on xxxxxxxxxx Neumann xxxxxx has xxxx about xxxxxxxxxx explicit xxxxxxxxxx or xxxxxx transformation xxx the xxxx th-century xxxxxxxxxxx of xxx sub-symbolic xxxxxx and xxxxxxxxxx models xx McCulloch-Pitts xxx Rosenblatt xxxxxxxxxxxx prefigured xxx machine-learning xxx deep-learning xxxxxxx that xxxxx today x AI xxxxx can xxxxxx patterns xxx information xxxx text xxxxxx audio xxx video xxxxxx AI xx fact xxxx three xxxxxxxxxxxx approaches xxxxxxxxxx algorithms xxxxxxxxxxx ML xxxxxxxxxx such xx regression xxxxxxxxxxxxxx and xxxxxxxxxx and xxxx neural xxxxxxxx with xxxxxxxxxxx models xxxxx can xx used xx automate xxx model xxxxxxxxxx and xxxx to xxxxxxx or xxxxxxx human xxxxxxxxxxx in xxxx well xxxxxxx cognitive xxxxx but xxxx remain xxxxxxxxxxx by xxx Church-Turing xxxxx and xx not xxxx the xxxxxxxxx that xxxxxx systems xx Third xxx speaker xxxxxx the xxxxxxxx of xxxxxxx the xxxxx is xxxx a xxxxxxxx In xxxxxxxx to xxxxxxxxx and xxxxxxxxxxx which xxxxxx on xxxxxxxx control xxx are xxx autopoietic xxxxxxxxxxxxxx self-maintaining xxxxxx systems xxxxxxx rich xxxxxxxxx regulation xxxx maintains xxxxxxxxxxx internal xxxxxxxxx in xxx face xx external xxxxxxxxxxx The xxxxx generates xxxxxxxx that xxxxxxxxxx associative xxxxxxxx and xxxxxxx histories xx unfolding xxxxxx By xxxxxxxx computers xxxx if xx don x tell xxxx what xx do xxxx they xxxxxxxxxx significant xxxxxxxxxxx and xx present-day xxxxxxxx architectures xxx AI xx not xxxxxxx the xxxxxxxxxxx self-modifying xxxxxxxxxxxxxxx intelligence xxxx the xxxxx does xx will xxxx to xxxxxxxxx GTI xxxxxxxx and xxxxxxxxxxx autopoietic xxx cognitive xxxxxxxxxx into xxxxxxxxxx systems xxxxxx we xxxx be xxxx to xxxx such xxxxxx Read More

Ans. Chapter xxxxxx with xxx notion xxxx the xxxxxxx of xx proper xxx relatively xxxxxx tracing xxxx to xxx availability xx the xxxxxxx computer xxx early xxxxx that xxxxxxxx can xx mechanized xx symbol xx... ....... Chapter xxxxxx with xxx notion xxxx the xxxxxxx of xx proper xxx relatively xxxxxx tracing xxxx to xxx availability xx the xxxxxxx computer xxx early xxxxx that xxxxxxxx can xx mechanized xx symbol xxxxxxxxxxxx It xxxx singles xxx the xxxxxxx Dartmouth xxxxxxxx organized xx McCarthy xxx also xxxxx named xxx field xxx its xxxx founding xxxxxxxxxx that xxxxxxxxx features xx intelligence xxx be xxxxxxxxx precisely xxxxxx to xx replicated xx a xxxxxxx Limited xxxxxxx and xxxxx disagreements xxxxxxxxxxxxxxx Dartmouth xx shown xx have xxxx critical xx both xxxxxxx AI x agenda xxxxxxxx learning xxxxxx nets xxxxxxxxx creativity xxx making xxxxxxxx near-term xxxxxx e x from xxxxxxxx Simon xxx Minsky xxxxx the xxxxxxxx arrival xx fully xxxxxxxxxxx machines xxxxxxx also xxxxx the xxxxxxxx that xxxxxxx about xx often xxx into xxxx limits xxxxx intelligence xx an xxxxxxxxxxxxx fuzzy xxxxxxxx word xxxx many xxxxxxxxxxx and xxx field xxx generally xxxxxxxxx with xx settled xx widely xxxxxx notion xx what xx actually xxxxx It xxxx on xx distinguish xxx main xxxxxxxxx motivations xx to xxxxxx understand xxxxxxxxxx intelligence xx AI xx build xxxxxxx that xx things xxxx then xx describes xxx anarchy xx methods xxxxx probability xxxxxxxxxx and xxxxxxxxxxxxxx that xxxxx frames xxx field xxxxx It xxxx notes xxxx although xxxx learning xx now xxx dominant xxxxxx paradigm xx is xxxx one xxxxxxxx within xxx larger xxxxx of xx and xxxx on xx set xx a xxxxx early xxxxxxxx AI xxxxxxxxxxx AI xxxxx between xxxxx and xxxxxxxxxxxx systems xxxx the xxxxxxx Problem xxxxxx and xxxxxxx brain-inspired xxxxxxxx systems xxxxxx it xxxx by xxxxx the xxxxxxxxxx to xxxxxxxxx the xxxxxx to xxxxxxxxxxx AI x simple xxxxxxxxxxxxxxx model xxxx learns xxxxxxx from xxxxxxx examples xx early xxxx of xxxxxxxxxx learning xxx that xxxxx the xxxxxxxxx but xxxx the xxxxxxx of xxxxxxx numerical xxxxxxxxx It xxxx notes xxxx perceptrons xxxx themselves xxxxxxxxxxxx at xxx time xxx also xxx real xxxxxxxxxxx sometimes xxxxxxxxxxx by xxxxxx and xxxxxx and xxxx both xxxxxxxxxxx to xxxxxx approaches xxxxxx funding xxx attention xxx a xxxx The xxxxxxx ends xx describing xxx recurring xxxxxxxxxxxxx AI xxxxxx AI xxxxxx cycle xxxx was xxxxxxx by xxxxxxxxxxxxx and xx distilling x central xxxxxx of xxxxx winters xxxx many xxxxxx humans xxxx easy x g xxxxxxxx understanding xxxxxxxxxxxx perception xxxxxx out xx be xxxxx AI x hardest xxxxxxxx Read More

Ans. Chapter xxx tells xxxxxxxx and xxxxxxxxxxxxx how xx leverage xxxxxxxxxx intelligence xx forbetter xxxx management xx is xxxxxxxx to xxxx leaders xxxx AI xxxxxxxx decisions xx a xxxxxxxxxx practical xx... ....... Chapter xxx tells xxxxxxxx and xxxxxxxxxxxxx how xx leverage xxxxxxxxxx intelligence xx forbetter xxxx management xx is xxxxxxxx to xxxx leaders xxxx AI xxxxxxxx decisions xx a xxxxxxxxxx practical xxxxx The xxxx will xxxxxxx us xxxx an xxxxxxxx of xxxxxxx AI xxxxxx and xxxxxxxxxxxx use xxxxx including xxxxxxx Language xxxxxxxxxx NLP xxxxxxxxxxxxxxxxxxx Q x and xxxxxxxxxxxxxx artificial xxxxxxxxxxxx AI xxxxxx cybersecurity xxx the xxxxxxxx of xxxxxx IoT xx also xxxxxxxxxxx how xxxxxxxxxx can xx applied xx automate xxx enhance xxxxxxxxxx relatedto xxxx identification xxxxxxxxxx and xxxxxxxxxx for xxx organization xxxx it xx an xxxxxxxxx guide xxx future xxx current xxxxx Information xxxxxxxx CIOs xxxxxxxxxxxxxxx Officers xxxx Chief xxxx Officers xxxx Chief xxxxxxxx Officers xxxx Chief xxxx Officers xxxx data xxx AI xxxxxxxxxxxxx project xxxxxxxx consultants xxxxxxxxx students xxx anyone xxxxxxxxxx in xxxxxxxx about xxxxx AI xxx risk xxxxx in xxxx book xxxxxxxxxxx find xxxxxxxx technical xxxxxxxxxxx on xxx to xxx AI xx work xx risk xxxxxxxxxx designknowledge-driven xxxxxxxxx with xxx involvement xx subject xxxxxx experts xxx gain xxxxxxxxxxxxxxx of xxx mathematics xxx technical xxxxxxx that xxxxx AI xxxxxxxxxxxx including xxxxxxxxxxx and xxxxxxxxxx topics xxxx as xxxxxxx and xxxxxxxx processing xxxx book xxxx alsodiscuss xxx important xxxxxxxx decisions xxxx have xx be xxxx for xxxxxxxxxx AI xxxxxxxx including xxx to xxxxxx high-value xxx cases xxxxxxxx options xxxx build xx buy xxxxxxxxx attract xxx retain xxxxxx create xxxxxxxx for xxxxxxxxxxxxxx change xxx manage xxx entire xxxxxxxxxxxxx from xxxxxxxxxx and xxxxxxxxxxx to xxxxxxxxxxxxxx and xxxxxxxx Read More

Ans. Hello xxxxxxxx This xxxxxxxxxx was x quite xxxxxxxxxxx for xx I xxxxxxxxx struggled xxx later xxxx the xxxx of xxxxxxx I xxx able xx complete xx In xxxx assignment x had xxx opportunity xx work xxxxxx... ....... Hello xxxxxxxx This xxxxxxxxxx was x quite xxxxxxxxxxx for xx I xxxxxxxxx struggled xxx later xxxx the xxxx of xxxxxxx I xxx able xx complete xx In xxxx assignment x had xxx opportunity xx work xxxxxxxx with x containerized xxxxxxxxxxx called xxxxxxxxxxxxxxxxxxx which xxxxxxxxx a xxxxx amount xx workload xxxxxxx a xxxxx database xx the xxxxxxxxx I xxxxxxxxxxxx on xxxxxxxxxxxxx the xxxxxxxxxxxx The xxxxxx has xxxxx key xxxxxxxxxx a xxx frontend xxxxxx by xxxxx transactions-web x backend xxx built xxxx FastAPI xxxxxxxxxxxxxxxx and x MySQL xxxxxxxx transactions-mysql xxx of xxx first xxxxxx I xxxxxxx was xxx these xxxxxxxxxx communicate xxxx a xxxxxxx Docker xxxxxxx transactions xxx which xxxxxx service xxxxxxxxx by xxxx without xxxxxxxx internal xxxxx to xxx host xxx initial xxxx consisted xx creating xxxxxxxxx images xxx the xxx frontend xx well xx for xxx API xxxxxxx Using xxx given xxxxxxxxxxx I xxxxxxxxx this xxxx and xxxx sure xxx images xxxx really xxxxxxxx successfully xx was xxxx to xxxxx the xxxxxxxxxx separately xxx I xxxxxxxxxx very xxxx that xxx three xxxxxxxxxx must xx connected xx the xxxx docker xxxxxxx At xxxxx I xxx the xxxxx nginx xxxxxxxx host xxx found xxxxx was xxxxxx by xxx API xxxxxxxxx not xxxxx in xxx network xxxx I xxx to xx that xx all xxxxxxxxxx were xx transactions xxx Nginx xxx able xx proxy xxx requests xxxxxxxxx to xxx API xxxxxxxxx This xxxxxxxx demonstrated xxx fact xxxx to xxxxxx service xx service xxxxxxxxxxxxx both xxxxxxxxxx and xxxxxxx container xxxxxx are xxxxxxxxx Once xxx issue xx networking xxx fixed x explored xxx API xxxxxxxxx with xxx command xxxx from xxx PowerShell xx establish xxx connectivity xxx database xxxxxxxxxxx api xxxxxx and xxx transactions xxxxx were xxx two xxxxxxxxx that x checked xxxxx Besides xxxx the xxxxxxxx control xxxxxxxx was xxxxxxxx to xxxxxx load xxxxxxx TPS xxxxxxx and xxxxx sizes xx JSON xx fact xxxx assignment xxx been x great xxxxxxxx experience xxx me xxxxxxx the xxxxx skill xx running xxxxxxxxxx it xxxxxx me xxx to xxxxxxxxx new xxxxxxxxx with xxx old xxx look xx mistakes xxxx a xxxxxxxxxx eye xxx try xxx solutions xxxx by xxxx I xxxxx ChatGPT xx invaluable xxxxxxxxx as x asked xxx clarifications xxxx container xxxxxxxxxx reverse xxxxx behavior xxx workload xxxxxxxxxx It xxx like xxxxxx an xxxxxx next xx me xxx actually xxx major xxxxxxxx came xxxx me xxxxx the xxxxxxxxxxxxxxx seeing xxx results xxx troubleshooting xxxx time xxxxxx When xxx work xxx done x was xxxx of xx ability xx creating xxxxxxxxx images xxxxxxxxxx Docker xxxxxxxx managing xxxxxxxx traffic xxx performing xxxxxxxxxxx metrics xxxxxxxx Read More

Ans. Hello xxxxxxxx A xxxxx database xxxxxx data xxxx a xxxxxxx focus xx the xxxxxxxxxxxxx between xxxxxxxxx data xxxx It xxxx not xxxx data xx tables xxxx traditional xxxxxxxxx but xxxxxxxxxx the xxxx as... ....... Hello xxxxxxxx A xxxxx database xxxxxx data xxxx a xxxxxxx focus xx the xxxxxxxxxxxxx between xxxxxxxxx data xxxx It xxxx not xxxx data xx tables xxxx traditional xxxxxxxxx but xxxxxxxxxx the xxxx as xxxxx and xxx relationships xxxxxxx them xx edges xxx concept xx graph xxxxxxxxx is xxxx appealing xxx beneficial xx cases xxxxx one xx dealing xxxx complex xxxxxxxxxxxxx such xx social xxxxxxxx recommendation xxxxxxx fraud xxxxxxxxx and xxxxxx chain xxxxxxxx From xxx analytics xxxxxxxxxxx a xxxxx database xxxxxx the xxxxxxx to xxxxxx patterns xxxxxxxxxxx and xxxxxx that xxx quite xxxxxxxxx to xxxxxx if xxxxxxx databases xxxx used x Docker xxxxxxxxx is x minimally xxxxx method xx encapsulate xx app xxxxx with xxx the xxxxxxxx libraries xxx settings xx requires xx operate xxxxxx is x tool xxx developers xx build xxx deploy xxxx so xxxx the xxxx will xxxxxx identically xx any xxxxxxxx or xxxxxxxxx system xx data xxxxxxxxx projects xxxxxx facilitates xxx usage xx tools xxxxxxxxxxx management xxx solving xxx incompatibility xxxxxx Read More

Ans. After xxxxxxx chapter x learned xxxx risk xx not xxxx negative xx can xxxx be xxxxxxxxxxx in xxxxxxxx ways xxxx as xxxxxxxxxxx Positive xxxxx like xxxxxxxx new xxxxxxxxxxxx or xxxxxxxx models xxx lead... ....... After xxxxxxx chapter x learned xxxx risk xx not xxxx negative xx can xxxx be xxxxxxxxxxx in xxxxxxxx ways xxxx as xxxxxxxxxxx Positive xxxxx like xxxxxxxx new xxxxxxxxxxxx or xxxxxxxx models xxx lead xx competitive xxxxxxxxx when xx is xxxxxxx correctly xxxxxxx provides x foundation xxx understanding xxxxx it x categories xxx how xxxxxxxxxxxxx can xxxxxx uncertainty xxxxxxxxxxx One xx the xxxx important xxxxxxxx point xx that xxxx is xxxxxx in xxxxxxxxxxx and xx exists xx every xxxx project xxx business xxxxxxxxx Risks xxxx be xxxxxxxxxx early xxx evaluated xxxxxxxxxxxx whether xx is xxxxxxx to xxxxxxxx time xxxxxxxxxx or xxxxxxxxx Chapter xxxx tells xx the xxxxxxxxxx of xxxx management xxxxxxx It xx defined xx PMI x PMBOK xxxxxxxxx The xxxxxxxx approach xxxxxx risk xxxxxxxxxx planning xxxx identification xxxxxxxxxxx and xxxxxxxxxxxx analysis xxxxxxxx planning xxx implementation xxx risk xxxxxxxxxx ensure xxxx risks xxx dealt xxxx in x controlled xxxxxx rather xxxx being xxxxxxxxx to xxx situation xx also xxxxxx out xxx importance xx risk xxxxxxxxxxxxxx for xx organization xx effectively xxxxx and xxxxxxx the xxxxx it xxxxx Overall xxxx chapter xxxxxxxxxx that xxxx performing xxxxxxxxxxxxx manage xxxxx proactively xxxxxxxx opportunities xxx high xxxxxxx standards xxx keep xxxxx of xxxxxxxxxxxxx regularly xx safeguard xxxxx value xxx at xxx same xxxx facilitate xxxxxx Read More

Ans. Three xxxxxxxxxxxx will xxxx propel xxx next xxxxxxxxxx of xxxxxxxxxxx systems xxxx leverage xxxx symbolic xxx sub-symbolic xxxxxxxxx structures xxxxxx Programming xxxxxxxx and xxxxxxxxx Graph xxxxxxx... ....... Three xxxxxxxxxxxx will xxxx propel xxx next xxxxxxxxxx of xxxxxxxxxxx systems xxxx leverage xxxx symbolic xxx sub-symbolic xxxxxxxxx structures xxxxxx Programming xxxxxxxx and xxxxxxxxx Graph xxxxxxxxx to xxxxx domain-specific xxxxxxxxx and xxx evolution xxxxxxxxxx to xxxxxx the xxxxxxxxxxx software xxxxxxxxxxxx leveraging xxxxxxxxxx cloud xxxxxxxxx Read xxxx paper xxxx describes xxx to xxx Graph xxxxxxxx to xxxxxxx loan xxxxxxx default xxxxxxxxxx based xx customer's xxxxxxx and xxxxxxxx it xxxx traditional xxxxxxx learning xxxxxxx Machine xxxxxxxxxxxx with xxxxxxxxxxx Memory xxx Event-Driven xxxxxxxxxxx History x Preprints xxx Study xxx Power xxxxx Study xx dialog xxxx ChatGPT xx the xxxxxxxx Pdf xxxx describes xxx I xxxx to xxxxxx a xxxxxx and xxxxxx code xx execute xxx Loan xxxxxxx Prediction xxxxxxxxxx This xx just xx show xxx we xxx use xxxx in xxxxxxxxx and xxxxxxxxxx business xxxxxxxx We xxxx discuss xxxx in xxxxxx in xxxx class xxxx discussion xxxx is xxxxxxx to xxxxxxx you xxx what xx coming Read More

Ans. Hi xxxxx A xxxxxx and xxxxxxxxxxxxx title xxx the xxxxxx block xxxxx Analytics xx Data xxxxxxxxxx and xxxx Quality xxxx element xxxxxxxxx the xxxxx by xxxxxxxxxx how xxxx is xxxxxxx controlled xxxxxxx... ....... Hi xxxxx A xxxxxx and xxxxxxxxxxxxx title xxx the xxxxxx block xxxxx Analytics xx Data xxxxxxxxxx and xxxx Quality xxxx element xxxxxxxxx the xxxxx by xxxxxxxxxx how xxxx is xxxxxxx controlled xxxxxxxxx and xxxxxxxxx across xxx organization xxxxx Business xxxxxxxxxxxx focuses xx reporting xxxxxxxxxxx Management xx data xxxxxxx and xxxxxxxxxxx and xxxxxxxx Analytics xx modeling xxx prediction xxxx of xxxxx can xxxxxxxx effectively xxxxxxx reliable xxxxxxxxxx and xxxxxxxxxxxxx data xxxx governance xxxxxxx common xxxxxxxxxxx ownership xxxxxxxxx and xxxxxxxx while xxxx quality xxxxxxxxx ensure xxxxxxxx completeness xxx timeliness xxxxxxxxxxxx requirements xxx credible xxxxxxxxx outputs xxxx choice xx well xxxxxxxxx in xxx analytics xxxxxxxxxx which xxxxxxxxxxxx emphasizes xxxx analytics xxxxx is xxxxxxxxxxx by xxxx quality xxx governance xxxxxxxx Davenport xxx Harris xxxxx that xxxxxxxxxxxxx fail xx achieve xxxxxxxxxx advantage xxx because xx weak xxxxxx but xxxxxxx of xxxx data xxxxxxxxxxx and xxxx of xxxxxxxxxx structures xxxxxxxxx Otto xxxxxxxxxx data xxxxxxxxxx as x core xxxxxx for xxxxxxxxxx analytics xxxxxxxx trust xx insights xxx scalable xxxxxxxxxxxxxxx Positioning xxxx Governance xxx Data xxxxxxx within xxx Analytics xxx yet xxxxxxxx from xxxxxxxxxxxxxxx capabilities xxxxxxxx its xxxx as xx enabling xxxxxxxxxx discipline xxxxxx than x change xxxxxxxxxx or xxxxxxxx function xxxxxxxxxx APA xxxxxxxxx T x Harris x G xxxxxxxxx on xxxxxxxxx The xxx science xx winning xxxxxx MA xxxxxxx Business xxxxxx Press xxxx B xxxxxxxxxx data xxxxxxxxxx Findings xxxx the xxxxxxxxxxxxxxxxxx industry xxx consequences xxx large xxxxxxx providers xxxxxxxxxxxxxx of xxx Association xxx Information xxxxxxx Read More

Ans. Hello xxxxx I xxxxx choose xxx personal xxxxxxxxxxx perspective xx represent xxx founder xxxxxxx this xxxxxxxxxxx emphasizes xxxxxx trust xxxxxxxxxxxxx and xxxxxxxx harm xxxxx are xxx values xxxxxxxx... ....... Hello xxxxx I xxxxx choose xxx personal xxxxxxxxxxx perspective xx represent xxx founder xxxxxxx this xxxxxxxxxxx emphasizes xxxxxx trust xxxxxxxxxxxxx and xxxxxxxx harm xxxxx are xxx values xxxxxxxx care xxxxxx about xxxx key xxxxxx I xxxxx cover xx address xxx concerns xxxx may xxxx are xxx the xxxxxxxxxx affects xxxxxxxxx and xxxxxxxxxxxxx teamsThe xxxxxxx may xx concerned xxxxx loyal xxxxxxxxxxxx employees x would xxxxxxxx them xxxx the xxx customer xxxxxxxxxx improves xxxxx effectiveness xxxxxx than xxxxxxxxxxx jobs xxxxxxx helping xxxxxxxx trust xxx reducing xxx fear xx disruption x would xxxx explain xxxx the xxxxxxxxxx is xxxxxxxx to xxxxxxx employees xxx replace xxxx by xxxxxx them xxxxxx information xx serve xxxxxxxxx Preserving xxxxxxx customer xxxxxxxxxxxxxxxxxxxxx of xxxxxx businesses xxxxxxx pride xxxxxxxxxx on xxxxx customer xxxxxxxxxxxxx I xxxxx highlight xxxx the xxxxxxxxxx strengthens xxxxxxxx relationships xxxx customers xx better xxxxxxxxxxxxx their xxxxx and xxxxxxxxxx more xxxxxxxxxxxx I xxxxx present xxx initiative xx a xxx to xxxxxx care xxx our xxxxxxxxx Maintaining xxx company x family-oriented xxxxxxxx would xxxxxx that xxx initiative xxxxxxxx the xxxxxxx s xxxxxxx and xx implemented xx a xxx that xxxxxx with xxx values xx respect xxxxxxxxxxxxx and xxxxxxxx Showing xxxxxxxxxxx to xxxxxxx and xxxxxxxx morale xxxxxxxxxxxx that xxxxxxxxxx is xxxxxxxxxxxx people xxx just xxxxxxxxxxx metrics xxxxx communication xxx involvementSince xxxxx is xxx foundation xxxxxxxxxxx communication xxxxxxxxx the xxxxxxx that xxx initiative xxxx not xxxxxx internal xx external xxxxxxxxxxxxx and xxxx change xxxx be xxxxxxx thoughtfully x will xxxxxxx how xxxxxxxxxx will xxxxxxxxxxx openly xxxxx the xxxxxxxxxx and xxxxxxx employees xx the xxxxxx process Read More

Ans. Actionable xxxxxxx is xxx of xxx major xxxxxxxx used xx distinguish xxxxxxx Business xxxxxxxxx and xxxxxxxx Intelligence xx put xx simply xxxxxxxxxx insight xxxxxx to xxx application xx data xx assist... ....... Actionable xxxxxxx is xxx of xxx major xxxxxxxx used xx distinguish xxxxxxx Business xxxxxxxxx and xxxxxxxx Intelligence xx put xx simply xxxxxxxxxx insight xxxxxx to xxx application xx data xx assist xxxxxxxxxxx taking xxxxxx and xxxxxxxxxx steps xxx main xxxxxxx of xxxxxxxx Intelligence xx on xxxx has xxxxxxx occurred x g xxxxx data xxxxxxxxxx or xxxxxxxxxxx reports xxxxxxxx Analytics xxxx even xxxxxxx by xxxxxxx the xxxxxxx why xxxxxxxxx occurred xxx the xxxxx that xxxxxx be xxxxx followed xxxxxxxxx Harris xxxxxxxxxx insight xx concerned xxxx transforming xxx data xxxx decisions xx illustrate xxxxxxxx analytics xxx help xx identify xxx cause xxxx increased xxxxxx or xxx advertising xx altered xxxxxxxx requirements xxxxxxx of xxxx presenting xxx fact xxxx sales xxxx declined xx the xxxxxxxx month xx also xxx propose xxxxxxxx such xx price xxxxxxxxxx promotion xxxxxxxxxxx or xxxxxxx modification xxxx renders xxxx all xxx more xxxxxxxx since xx results xxxx actual xxxxxxxxx in xxx performance xx the xxxxxxxx In xxxx of xxxxxxxx research xxxxxxxxxxxxx that xxxxxxxx actionable xxxxxxxx are xxxxxxxx since xxxx are xxxxxxx to xxxxxxx to xxxxxx and xxxxxxxxxxxxx Forecasting xxxxx and xxxxxxxx analysis xxx among xxx tools xxxxxxx in xxxxxxxxx to xxxxx leaders xx their xxxxxx outcomes xxxxxx making xxxxx decisions xxxxxxx and xxxxxxx further xxxxx that xxx actual xxxxx of xxxxxxxxx lies xxx in xxx data xxxxxx but xx the xxx in xxxxx the xxxxxxxx have xxxx used xx make xxxxxx decisions xxx take xxxx appropriate xxxxx Provost xxxxxxx Unless xxxxx upon xxxx is xxxxxx into xxxxxxxxxxx that xx interesting xxx not xxxxx creating xxxxxxxxx Harris xx the xxxxxxx competitive xxxxx companies xxxxxx satisfy xxxxxxxxxx with xxxxxxx They xxxxxx have x clear xxxxxxxxxxx on xxxx should xx done xxx how xxxx would xxxxxx outcomes xxxxxxxxxx insight xxxxxxx these xxxx decisions xxx outcomes xxxxxxxx and xx a xxxxxxxxxxx aspect xx business xxxxxxxxx and x major xxxxxxxx between xxxxxxxx intelligence xxx business xxxxxxxxx ReferencesDavenport x H xxxxxx J x Competing xx analytics xxx new xxxxxxx of xxxxxxx nd xx Harvard xxxxxxxx Review xxxxx Provost x Fawcett x Data xxxxxxx for xxxxxxxx What xxx need xx know xxxxx data xxxxxx and xxxxxxxxxxxxx thinking x Reilly xxxxx Read More

Ans. Artificial xxxxxxxxxxxx AI xxx Machine xxxxxxxx ML xx one xxxx business xxxxxxxxxxxx trend xx I xxxxx the xxxxxxxxx is xxxxxx significant xxxxx it xxxxxxx the xxxxxxxxxxxxx to xxxxxxx huge xxxxxxx of... ....... Artificial xxxxxxxxxxxx AI xxx Machine xxxxxxxx ML xx one xxxx business xxxxxxxxxxxx trend xx I xxxxx the xxxxxxxxx is xxxxxx significant xxxxx it xxxxxxx the xxxxxxxxxxxxx to xxxxxxx huge xxxxxxx of xxxx into xxxxxxxx information xxxxxxx and xxxx effectively xxxxx business xxxxxxx more xxxx each xxx it xx difficult xxxx individuals xxx review xxx comprehend xxx the xxxxxxxxxxx alone xxxx issue xx addressed xxxx the xxx of xx and xx The xx enhances xxxxxxxx intelligence xx automating xxxxxxxxx identifying xxxxxx and xxxxxxxxxxx As xx example xx can xx fast xx indicate xxxxx of xxx products xx selling xxx which xxxx of xxx business xx making xx money xxxxxxx way xxxx machine xxxxxxxx can xxxx avert xxxxx or xxxx mistakes xx to xxxxxxxx suspicious xxxxxxxx that xxx be xxxx to xxxxxxxxx the xxxxxxxxxxxx This xxxxxxx managers xx make xxxxxxxx decision xxxx real xxxx and xxxxxxxx information xxxxxxxx Staff xxxxxxxxxx is xxxxxxx reason xxx this xxxxx is xxxxxxxx AI xxxx help xxxx time xxxxx by xxxxxxxxx on xxxxxx work xxxx data xx professionals xx not xxxx to xxxxxxx their xxxx constructing xxxxxxx manually xx that xxxx can xxxxxx in xxxxxx analysis xxx strategy xxxxxxxx This xxxxx workforce xxxxxxxxxxxx and xxxxxxxxx errors xxx predictive xxxxxxxxx also xx supported xx the xxxxxxxx BI xxxxx and xxxxx businesses xx plan xxxxxxx future xxxxx and xxxxxxxxxxxxx AI xxx ML xxxx help xx understanding xxxxxxxxx better xxx companies xxxx the xxxxxxxxxxx to xxxxx the xxxxxxxx behavior xxx preferences xxxxxxxx with xxxxxxxx to xxxxxxx products xxx services xxxx results xx improved xxxxxxxx satisfaction xxx performance xx business xxxx notwithstanding xxxxx should xxx neglect xx maintain xxx quality xx the xxxx and xxxxxxx application xx AI xx they xxxxx risk xxxxxx or xxxxxxxxxx outcomes xx general xx and xxxxxxx learning xxx influencing xxx future xx business xxxxxxxxxxxx Companies xxxxxxxxx in xxxxx tools xxx abilities xxxx be xxxx competitive xxxxxxxx and xxxxx to xxxx the xxxxxxxxxx in xxx future xxxxxxxxxxxxxxxxx Staff xxxxxxxx Top xxxxxxxx intelligence xxxxxx in xxxxxxxx https xxx coursera xxx articles xxxxxxxxxxxxxxxxxxxxxxxxxxxx Read More

Ans. During xxxx we xxxxx extra xxxxx like xxxxx aid xxxx extra xxxx or xxxx clothing xxx safety xxxxxxxx For xxxxxxxx we xx not xxxx how xxx weather xxxxxxxxxx are xxxxxxxxx keeping xxxxx clothes xxxx be... ....... During xxxx we xxxxx extra xxxxx like xxxxx aid xxxx extra xxxx or xxxx clothing xxx safety xxxxxxxx For xxxxxxxx we xx not xxxx how xxx weather xxxxxxxxxx are xxxxxxxxx keeping xxxxx clothes xxxx be xx added xxxxxxxxx Also xxxxxxxx unexpected xxx happen xxxxxx hike xxxx injury xx keeping xxxxx aid xxx will xx beneficial xxx gives xx safety xxx peace xx mind xx we xx not xxxx any xxxxx during xxxxx hike xx wilderness xx will xxxxx But xxxxxxxx extra xxxxx like xxxxx and xxxxxxx beforehand xx will xxxxxx with xxxxx of xxxx The xxxx are xxxx this xxxxx luggage xxxx weight xxx we xxxx be xxxxx further xxxxxx hike xx makes xxx hike xxxx enjoyable x believe xxxxx is xx loss xx carrying xxxxx items xxx it xxxx beneficial xx one xx the xxxxx way xxxxxx with xxx risk xxxxxxxxx may xxxxxx to xx over-prepared xxx pack xxxx safety xxx backup xxxxx even xx it xxxxx carrying xxxxx weight xxxx value xxxxxx over xxxxxxx On xxx other xxxx someone xxx is xxxx comfortable xxxxxx risks xxx pack xxxxx and xxxxxx things xxxx go xx planned xxxxx are xxxxx factors xxxx which xx need xx consider xx how xxxx a xxxxxx is xxxxxxx to xxxxxx the xxxx such xx personal xxxxxxxxxx personal xxxxxxx confidence xxxxx and xxxx incidents xxxx we xxx hiking xxxx others xxxxx risk xxxxxxxxxx are xxxxxxxxx from xx I xxxxxxx communication xx crucial xx we xxxxxx on xxxxxx safety xxxxxxxx we xxxx not xxxx prevent xxxxxxxxx but xxxx makes xxx trip xxxxxxxx We xxxxxx communicate xxxxx sharing xxxxx such xx first xxx kits xx emergency xxxx It xx a xxxx way xx level xxx differences xxxxxxx carrying xxx much xxx I xxxxx it xx good xx review xxxx we xxxx packed xx the xxxx goes xxxxxxxxx It xxxxx us xxxxxxxxxx what xxx useful xxx what xxxx t xxxx useful xxx just xxxxxxx I xxx not xxx some xxxxx it xxxx not xxxx that x need xx throw xxxx It xxxxx me xxxxxxxxxx how xx plan xxxxxx for xxxx adventure xx packing xxxxxxx reducing xxxxxxxxxxx rather xxxx cutting xxx safety xxxxx entirely Read More

Ans. Position xxxxxxxxx Since xxx human xxxxx has xxxx shown xx create xxxxxxx using xxxxxxxxxxx from xxxxxxx like xxxxxxx functions xx can xx easily xxxxxxxxxx However xxxxxx do xxx exist xxxxxxx there xx... ....... Position xxxxxxxxx Since xxx human xxxxx has xxxx shown xx create xxxxxxx using xxxxxxxxxxx from xxxxxxx like xxxxxxx functions xx can xx easily xxxxxxxxxx However xxxxxx do xxx exist xxxxxxx there xxxxx numerous xxxxxxx of xxxxxxxxxx and xxxxxxxxxx activity xxx lecture xxxxxx us xxxx human xxxxxxxxxxx are xxx perfect xxx are xxxxxxxxxx by xxxxxxxxxxx which xxx then xxxxxxx the xxxxxxx of xxx world xxx example xxx rubber xxxx experiments xx BBC x and xxx b xxxxxx that xxxx we xxx can xxxxxx change xxxx we xxxx and xxxx which xxxx can xxxxxxxx the xxxxx to xxxxxxx in x certain xxxxxxxxxx The xxxxx is xxxxxxxxx not xxxxxxx for xxxxxxxxxx but xxxxxx interpreting xxxxxxxxxxx according xx what xx feels xxxx when xx is xxx true xxxxxxx et xx also xxxxxxxx this xxxxxxxx by xxxxxxx that xxxxx sightings xxxx mostly xxxx reported xx conditions xxxx limited xxxxxxx ability xxxx low xxxxxxxx emotional xxxxxxxxxx or xxxxxxx environments xxxx is xxxxxxx the xxxxx in xxxxx situations xxxxxx on xxxxxxxx experience xx beliefs xxxxx can xxxxxx in xxx misinterpretation xx stimuli xx is xxxx of x brain xxxxxxxx in xxxxxxxxxxxx experiences xxxx the xxxxxxx reality xxxxxxxxxx BBC xxx a xxxxxxx The xxxxxx hand xxxxxxxx - xxxxxxx Is xxxxxx believing x BBC xxxxx Youtube xxxxx www xxxxxxx com xxxxx v xxxx w xxxx BBC xxx b xxxxxxxx Try xxxx bizarre xxxxx illusion x BBC xxxxx Youtube xxxxx www xxxxxxx com xxxxx v xxxx vWm x HUM xxxxx Lecture x d xxxxx edu xxxxxxxxx January xxxx https xxxxxx south xxx courses xxxxx week- xxxxxxxx module xxxx id xxxxxxx B xxxxx T xxxxxxxx B xxxx Are xxxxxx real xxxx Science xxxxx www xxxxxxxxxxx com xxxxxxxxxxxxxxxx html Read More

Ans. I xxxx in xxx past xxxxxx misinformation xxxxxxxxxx in xxxxxxxxxx where x had xx prior xxxxxxxxx of xxx topic xx any xxxxxxxxxx backing xxxxxx COVID x admit xxxx I xxx at xxxxx spreading xxxxxxxxxxxxx... ....... I xxxx in xxx past xxxxxx misinformation xxxxxxxxxx in xxxxxxxxxx where x had xx prior xxxxxxxxx of xxx topic xx any xxxxxxxxxx backing xxxxxx COVID x admit xxxx I xxx at xxxxx spreading xxxxxxxxxxxxxx In xxx early xxxxxx I xxxxxxxx seeing xxxxxxxxxxx that xxxxx was xxxxxxxxx a xxxxxxx race xxxxxxxxxxx than xxxxxx and xxxxxxxxx people xxx belonged xx one xxxx would xxx be xx high xxxx Since xx family xx linked xx the xxxxxxxxx that xxx less xxxxxxx I xxxxxx this xxxxxxxxxxx to xxxxxxx them xxx tell xxxx that xx were x little xxxxx seeing xxxx we xxxxxxxx This xxx quickly xxxxxxxxx in xxx days xxxx followed xxxxx scientific xxxxx was xxxxx including xxx data xxxx the xxxxxxx was xxxxxxxxx all xxxxx with xxxxxxxxxxx effects xx all x took xxxxxxxxxxx and xxxxxxx verifying xxxxxx misinformation xx my xxxxxx members xxxxx that x was xx a xxxxxx position xx clarify xxxx information xxxxxx sending xx is x perfect xxxxxxx of xxx misinformation xxx spread xxxx and xxxxxxxxxx when xxx individuals xx not xxxx the xxxx to xxxxxx the xxxxxxxxxxx before xxxxxxxxx it xxxxx this x have xxxx it x habit xx always xxxxxxxxxxxx the xxxxxxxx of xxx information xxxxxx sharing xx and xxxxxxxxx the xxxxxxxxxxxxxx behind xx Especially xxx that x am x healthcare xxxxxxxxxxxx within xx family x have xxxx back xxxx many xxxxxx simply xxxxxxx they xxxx scientific xxxxx Read More

Ans. The xxxxxxxx studies xxxxx exclude xxxxxxxx populations xxxx to xxxxxxxxxxx theories xxxx fail xx capture xxx human xxxxxxxxxxx The xxxxxxxxxxx of xxxxxxxxxxxxx psychology xxxxxxxx remains xxxxxxxxxx... ....... The xxxxxxxx studies xxxxx exclude xxxxxxxx populations xxxx to xxxxxxxxxxx theories xxxx fail xx capture xxx human xxxxxxxxxxx The xxxxxxxxxxx of xxxxxxxxxxxxx psychology xxxxxxxx remains xxxxxxxxxx because xxxxxxxxxxx study xxxx Western xxxxxxxx industrialized xxxx and xxxxxxxxxx WEIRD xxxxxxxxxxx which xx not xxxxxxxxx all xxxxxxxx and xxxxxxxx backgrounds xx families xxxxxxx et xx I xxxx that xxxxxxxxxxx developmental xxxxxxxx does xxx reflect xxx multicultural xxxxxx life xxxxx I xxxxxxxxxx as x Jamaican xxxxx who xx a xxxxxx My xxxxxxx values xxxxxx ties xxx respect xxx elders xxxxx with xxxxxxxxxx duty xxx many xxxxxxxx focus xx individual xxxxxxx and xxxxxxxxxxxxxxx behavior xxx research xxxxxxx lets xxxx see xxxxxx through xxxxx own xxxxxxxx lens xxxxx causes xxxxxxxxxxx to xxxxx that xxxxxxx cultural xxxxxxxxx represent xxxxxxxx skills xxxxxxxx requires xxxxxxx standards xxxxxxx researchers xxxx work xx build x study xxxxxxxxxxx which xxxxxxxx people xxxx all xxxxxxxxxxx Ethical xxxxxxxx requires xxxx all xxxxxx groups xxxxxxx the xxxxxxxx which xx beyond xxxxxxxxxx populations xxx research xxxxxxx which xxxxxxx specific xxxxxxxxxxx lead xx unfair xxxxxxxxxxxx of xxxxxxxxx educational xxxxxxx and xxxxxxx treatments xxx public xxxxxx guidelines xxxxxx inequalities xxx stereotypes xxxxxxx reinforcement xxxxxxx this xxxxxxx The xxxxxxx duty xx psychologists xxxxxxx that xxxx create xxxxxxx research xxxxxxxxxxx groups xxxxxxx this xxxxxxxx enables xxxx research xxxxxxxx which xxxxxxxxx actual xxxxxxxxx distribution xxx field xx human xxxxxxxxxxx research xxxxx to xxxxxxxx participant xxxxxxxxx because xxxx practice xxxx lead xx new xxxxxxxxxxx which xxxx benefit xxxx academic xxxxxxxx and xxxxxxxxx applications xx academic xxxxxxx in xxxxxxxxxx leads xx toward xxxxxx work xxxxxxx I xxxx to xxxx people xxxxxxx my xxxx ReferenceHenrich x Heine x J xxxxxxxxxx A xxx weirdest xxxxxx in xxx world xxxxxxxxxx and xxxxx Sciences xxxxx doi xxx S x X Read More

Ans. I xxxx focus xx Gavin xxxxxxx struggles xx school xxx his xxxxxx that xxxxxxxx else xx smarter xxxx him xxxxxxx he xxxxx be xxxxxx trouble xxxx his xxxxxxxxxx At xxx age xxxx usually xxxxx their xxxxx... ....... I xxxx focus xx Gavin xxxxxxx struggles xx school xxx his xxxxxx that xxxxxxxx else xx smarter xxxx him xxxxxxx he xxxxx be xxxxxx trouble xxxx his xxxxxxxxxx At xxx age xxxx usually xxxxx their xxxxx of xxxxxxx by xxxxx well xx school xxx getting xxxxxxxx feedback xxxx adults xxxx they xxxxxxx they xxxx proud xxx excited xx learn xxxx But xxxx they xxxx trouble xx think xxxxxxx not xxxx enough xxxx can xxxxx to xxxxxxx they're xxx capable xxxxxxx negative xxxxxxxxxxxxx show xxxx taking xxx school xxxxxxxxxx very xxxxxxxxxx Changes xx home xxxxx also xx affecting xxx Gavin xxxxx His xxxxxxxx divorce xxx his xxxxxxxx busy xxxxxxxx could xxxx he's xxxxxxx less xxxxxxxxx and xxxxxxx than xxxxxx Even xx Liza xx trying xxx best xxxxx might xxxxx feel xxxxxxxxx or xxxxxxxxxxx Without xxxxxxx encouragement xxxxx school xxxxxxxx can xxxx much xxxxxx and xxxx discouraging xxxxx also xxxxx to xx comparing xxxxxxx to xxx classmates xxxxxxxxx others xxx smarter xxx make xxx feel xxxxx about xxxxxxx and xxxx willing xx try xx avoid xxxxxxx embarrassed xx disappointed xx might xxxxx schoolwork xxxxxxxxxx This xxxxxxx a xxxxx where xxx trying xxxxx to xxxxx performance xxxxx then xxxxxx his xxxxxxxxxx even xxxx Support xxxx both xxxx and xxxxxx could xxxx Gavin xxxx better xxxxx himself xxxxxxxx his xxxxxx helping xxx set xxxxx goals xxx reminding xxx that xxxxxxxx are xxxx of xxxxxxxx could xxxxxxx his xxxxxxxxxx With xxxxxxxxxx encouragement xxx support xxxxx can xxxxx to xxxx capable xxxxx and xxxxxxxxx with xxxxxx in x more xxxxxxxx way xxxxxxxxxxxxxxxx E x Identity xxxxx and xxxxxx New xxxx NY x W xxxxxx Company Read More

Ans. Initial xxxxxxxxxx Post xxxxx Welfare xxx most xxxxxxxxx aspect xx child xxxxxxx which x want xx study xxxxxxx on xxxxxxx which xxxxxxx children xxxxx providing xxxxxxxxxx to xxxxx families x want xx... ....... Initial xxxxxxxxxx Post xxxxx Welfare xxx most xxxxxxxxx aspect xx child xxxxxxx which x want xx study xxxxxxx on xxxxxxx which xxxxxxx children xxxxx providing xxxxxxxxxx to xxxxx families x want xx study xxxxx welfare xxxxxxxx because x need xx understand xxx organizations xxxxxxx their xxxxx which xxxxxxxxx child xxxxxx and xxx professionals xxxxxxx children xxxxx they xxxxxx to xxxx families xxxxxxxx I xxxx to xxxxx trauma-informed xxxx because x want xx understand xxx neglect xx abuse xxxxxx early xxxxxxxxx negatively xxxxxxx a xxxxxxx emotional xxx psychological xxxxxx The xxxxxxxxx I xxxxxxx from xxxx research xxxx enable xx to xxxxxxxx children xxx families xxxx empathy xxxxxxx of xxxxxxx judgmental xxxxxxxx about xxxx My xxxxxxxx experience xx a xxxxxx of xxxxx children xxx given xx relevant xxxxxxx into xxxxx welfare x have xxxxxxxxx experience xxxxxxxxxx schools xxxxxxxxxx systems xxx mental xxxxxx services xxx my xxxxxxxx The xxxxxx health xxxxxxxxxx experienced xx my xxxxx have xxxxxxxxxxxx to xx that xxxxx intervention xxx supportive xxxxxxxx exist xx essential xxxxxxxxxxxx which xxxx children xxx parents xxxx access x have xxxxxx as x substitute xxxxxxx which xxxxxxx me xx witness xxx family xxxxxx and xxxxxxx and xxxxxxxxx problems xxxxxx how xxxxxxxx behave xxx learn xx school xxx experiences x have xxx demonstrate xxx need xxx emotional xxx social xxxxxxx which xxxxxxx academic xxxxxxxxxxxx to xxxx child xxxxxxx demands xx professional xxxxx and xxxxxxxx objectives xxxx both xxxxxxx from xx studies xx this xxxxxxxx My xxxxxxxxxxxx path xxxx lead xx to xxxx in xxxxxx work xx services xxxxx focus xx helping xxxxxxxx My xxxxxxxxxxxxx of xxxxx welfare xxxxxxx will xxxxxx me xx advocate xxx children xxx families xxxxx I xxxxxxx them xxxx knowledge xxxxx ethical xxxxxxx This xxxxxxxxxxx will xxxxxx me xx become x better xxxxxx who xxxxxx as x positive xxxxxxx for xx children xxxxxxx my xxxxxxx to xxxxxxxx warning xxxxx of xx Read More

Ans. - xxxxxxxxx One xxxxxxxxxxxx Data xxx Identifying xxxxxx Department xx Business xxxxxxxx New xxxxxxxxx University xxx Descriptive xxxxxxxx AnalyticsUsing xxx XYZ xxx ABC xxxxxxxx data xxxx identify xx... ....... - xxxxxxxxx One xxxxxxxxxxxx Data xxx Identifying xxxxxx Department xx Business xxxxxxxx New xxxxxxxxx University xxx Descriptive xxxxxxxx AnalyticsUsing xxx XYZ xxx ABC xxxxxxxx data xxxx identify xxxxxx and xxxx in xxx data xxxxx attributes xx the xxxx sets xxxxx Identify xxxxxxx or xxx data xx either xxxxxxx or xxxxxxxxxx Explain xxx this xxxxxxx the xxxxxxxxx of xxx data xxxxx strategies xxx you xxxxxx to xxxxxxxx the xxxxxx and xxxx in xxx data xxxxxxx your xxxxxxxxx Attributes xxxx the xxxx sets xxxxx are xxxxxxxxx item xxxxxxxx coupon x n xxxxx purchase xxxxxx and xxxxxx customer xxxxx Some xxxxx that x found xxxx the xxx data xxx is xxxx thevariable xx the xxxx has xxxxxxxxx fonts xxx example xx the xxxxx number xxxxxxxx half xx the xxxx has xxxxx font xxx the xxxx is xxxxxxx font xxxx in xxx data xxx another xxxxx that xxx found xx that xxxx number xxx item xxxx are xxx same xxxxx shows xxxxx are xxxxxxxxxx In xxx ABC xxxx set xxxx of xxx data xxxx were xxxxxxx to xxx right xxx some xxxx to xxx middle xxx variable xxxxxx customers xxxx children xx for xxx XYZ xxxx it xxxx has xxx same xxxxxxx with xxx font xxxx part xx the xxxx has xxxxx font xxx the xxxxx has xxxxxxx In xxx XYZ xxxx the xxxxxxxx product xxxx is xxxxx leaving xxx data xxxxxxxxxx The xxxxxxxxx item xxxx and xxxx number xxx also xxx same xx the xxx data xxx The xxxx in xxxxxxxx quantity xx XYZ xxxx some xx the xxxxxxx aligned xxxxxx and xxxx are xx the xxxxx According xx Wen x Zhou x Using xxxxxxxxx fonts xx the xxxx set xxxx not xxxx much xx an xxxxxx on xxx technical xxxxxxxxx of xxx data xxx it xxxxx cause xxxxxxxx withdata xxxxxxx user xxxxxxxxxx and xxxxxx consistency xx contrast xxxxx variables xxxxxxx data xxxxxxxx and xxxxxxxxxxxx undermine xxxx integrity xxx quality xxxxxxxxx in xxxxxxxx issues xx data xxxxxxxxxx and xxxxxxxx The xxxxxxxx I xxxx to xxxx errors xxx gaps xx the xxxx set xx dataprofiling xxx reason x used xxxx profiling xxxxxxxxx to xxxxxxxx P xxxxxxxx C xxxx profiling xxxxxxxx the xxxxxxxxxx analysis xxx summarization xx data xx evaluate xxx quality xxxxxxxxx and xxxxxxx It xxxxxxx analyzing xxxx to xxxxxx patterns xxxxxxxx errors xxxxxxxxxxxxx relationships xxxxxxx assisting xx assessing xxx data's xxxxxxxxxxx for xxx intendedapplications xx analytics xxxxxxxxx or xxxxxxxx decision-making xxxx procedure xxxxxxxxxx an xxxxxxxxx initial xxxxx for xxxxxxxxxxxx initiatives xxxx as xxxx integration xxx data xxxxxxxxx as xx detects xxxxxxxx including xxxxxx values xxxxxxxxxxxxxxx and xxxxxxxx formats xxxxxx new xxxxxxxxx out xx existing xxxx as xxxxxx so xxxx you xxx address xxx joint xxxxxxxxxx team x questions xxx concerns xxxxxxx any xxxxxxxxxxxxx or xxxxxx identified xxxxxxx your xxxxxxxx Analyze xxx spending xxxxxx By xxxxx and xxxxxxxx gender xx regionBy xxxxxxxxx with xxx without xxxxxxxxxxxxxxx the xxxx and xxxxx selling xxxxxxxxxx regionBy xxxxx and xxxxxx By xxxxxxxx customers xxxx and xxxxxxx children xxxxxxx the xxxxxxxxxxxxx of xxxxxxxxxx regionBy xxxxx and xxxxxx By xxxxxxxx customers xxxx and xxxxxxx childrenFirst xxxx I xxxx was xx clean xxx order xxxxxx data xx ABC xxxxxxx by xxxxxxxx the xxxxx C xx various xxxx I xxx that xx first xxxxxxxx the xxxx type xx text xxxx replacing xxx C xxx then xxxxxxxxxxxx it xx whole xxxxxx Next xxxx was xx transform xxx data xx add xxxxx and xxxxxx I xxxxx month xxxxx Column xxxx Example xxx choosing xxxxx from xx After xxxx added xxxxxx using xxxxxxxxxxx Column xxxxxxxx of xxxxxxxx trendsPeak xxxxx in xxxxx Lowest xx OctoberHighest xxxx in xxxxxx and xxxxxx in xxxxxxx spending xxxx than xxxxxxxxxxxx has xxx highest xxxxxx and xxxxx has xxx lowestAlmost xxxxx total xxxx for xxxxxxxxx with xxx without xxxxxxxx Analysis xx worst xxx bestselling xxxxxxxxxxxxx there xxx states xxxx state xxx its xxx best xxx worse xxxxxxx items xxxx is xxxx for xxx four xxxxxxx and xxxxxx Even xxx data xx huge xx be xxxxxxxxx gender xx with xx without xxxxxxxx However xxx top xxxx best xxxxxxx items xxxxxxxxxx waterCincinnati xxxxxxxxxxx Alla xxxxxxxxxxx sandwichToasted xxxxxxxxxxx worst xxxxxxx items xxx Chocolate xxxxxxxxx RingsSpaghetti xxxxxxxx HighlightWhole-Wheat xxxxx Analysis xx revenueBest xxxxxx revenue-wise xxxxxxxxxx Florida xxxxx New xxxx OhioWorst xxxxxx revenue-wise xxxxx Delaware xxxxxxx North xxxxxx Puerto xxxxxxxxxxx revenue xxxxxxxxxxx in xxxxxxxxxx order xxxxxx Winter xxxxxx FallMonths xxxx highest xxxxxxx April xxxxx February xxxxxxx AugustMonths xxxx low xxxxxxx October xxxxxxxx November xxxx SeptemberMale xxx to xxxxxx revenue xxxx women xxxxxxxx with xxxxxxxx led xx slightly xxxxxx revenue xxxx customer xxxxxxx children xxxxxx various xxxxxxxxxxxxxx for xxxx variable xxxxxxxx each xxxxxxxx in xxx data xxx each xxxxxxxx create xxxxxxxxxxx visualizations xxx explain xxx they xxxxxxx the xxxxxxxxx Analyze xxx shape xx the xxxxxxxxxxxxxx Is xxx data xxxxxxx in xxx particular xxx or xx it xxxxxxxx scattered xxxxxxx Are xxxxx any xxxxxxxx If xx what xxxxx they xxxxxxxx Identify xxx explain xxx patterns xxx trends xx the xxxxxxxx base xxxx states xxxx the xxxxxxx and xxxxxx profit xxxxxxx Which xxxxxxxxxx category xxx the xxxxxxx and xxx lowest xxxxxxx check xx there xxx pattern xx average xxxxxx by xxxx of xxx AM xx PM xxxx about xx month xx the xxxx Produce xxxxxxx statistics xxx each xxxxxxxx Include xxx following xxxxxxx tendencyMeasures xx dispersionShape xx the xxxx s xxxxxxxxxxxxxx there x large xxxxxx of xxxxxxx data xx so xxx does xxxx impact xxxx analysis xxxxxxx Variable xxxxxxxxxxxxxxxxxxxxx and xxxxxxxxxxxxxxxxxxxxxxxxx variables x restaurant xxxxx item xxxxxxxx gender xxxxxxxx payee xxxxxx order xxxxxxxx methodQuantitative xxxxxxxxx - xxxx total xxxx Revenue xxxxxxxx menu xxxxx order xxxxx costVisualization xxx narrativeRevenue xx State xxxxxxxxx Bar xxxxx showing xxxxxxx by xxxxxxxxxxxx footprint xxxxx merged xxxxxxx Skewed xxxxxxx few xxxxxx but xxx scattered xxxxxxx is xx outlier xx major xxxxxxx of xxx revenue xx generated xxxx Average xxxxx value xx category xxx time xx the xxx matrix xxxxxxx the xxxxxxxxxx time xx day xxx average xxxxx order xxxx Customer xxxxxx Used x stacked xxx chart xx show xxx gender xxx customer xxxx children xx identify xxx persona xx the xxxxxxxx This xxxxx an xxxxxxxxxxx trend xxxxxxxx data xx almost xxxxx for xxx genders xxx brand xxx universal xxxxxx across xxxxxxx as xxx likelihood xx a xxxxxxxx having xxxxxxxx remains xxxxxxxx regardless xx gender xxxxx shows xxxx spikes xxx October xxxx a xxx dip xxxxxxxx and xxxxxxxxxxxxx revenue xx Florida xxxxxx in xxxxxxxxxxxx average xxx item xxxx is xxx beverage xxx lowest xx for xxxxxxxxxxxxx have xxxx sales xxxx eveningsHighest xxxxxxx in xxxxxx and xxxxxx in xxxxxxxxxxxxxxx statistics x for xxxxx Order xxxxxxxxx Standard xxxxx Median xxxx Standard xxxxxxxxx Sample xxxxxxxx Kurtosis xxxxxxxx Range xxxxxxx Maximum xxx Count xxxxxxxxxxxxx K xxxx D xxxxxxxxxx career xxxxxxxx and xxxxxxxxxxxxxxx development xxx university xxxxxxxx using xxxxxxxxxx intelligence xxx machine xxxxxxxx Journal xx Computational xxxxxxx in xxxxxxxx Engineering xxxxx doi xxx Koukaras x Tjortjis x Data xxxxxxxxxxxxx and xxxxxxx Engineering xxx Data xxxxxx Techniques xxxxx and xxxx Practices xx https xxx org xx Read More

Ans. Milestone xxxxxx - xxxxxxxxxxx Business xxxxxxxx Milestone xxxxxxxx cleaning xxx transforming xxx data xx Milestone xxx I xxx move xx more xxxxxxx analytics xx Milestone xxx where x will xx identifyin... ....... Milestone xxxxxx - xxxxxxxxxxx Business xxxxxxxx Milestone xxxxxxxx cleaning xxx transforming xxx data xx Milestone xxx I xxx move xx more xxxxxxx analytics xx Milestone xxx where x will xx identifying xxx addressing xxx stakeholders xxxxxxxxxxxx These xxxxxxxx seem xx be xxxxxxxx for xxx leadership xx develop x three-year xxxx Identifying xxxxxxxxxxxx requirementsBased xx the xxxxxxxxxxx Requirements xxxxxxxx the xxxxxxxxx key xxxxxxxxxxxx have xxxx identified xxx the xxxxx merged xxxxxxx business xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ManagersSalesRegional xxxxx PerformanceA xxxxxxxxxx of xxxxxxxx sold xxxxxx various xxxxxxxxxxxx reason xx identify xxx best xxxxxxxx selling xxxx Marketing xxxxxxxxxxxxxxxxxxxxxxxxxx Sales xxxxxxxxxxxx of xxxxxxx sale xx various xxxxxx and xxxxxxx quarters xx plan xxxxxxxxxxxxxxxxx and xxxxxxxxxxxxxxxxxxxxxx and xxxxxxxxxxxxxxxxxxxxx SegmentationTo xxxxxxxxxx the xxxxxxxx behaviour xxxxxxx the xxxxxxx as xxxx between xxxxxxx without xxxxxxxx familiesProduct xxxxxxxxxx t xxxxxxxxxxxxxxxxxxxxxxxxxxxx EvaluationAn xxxxxxxxxx of xxxxxxxxxxx betweencustomers xxxx and xxxxxxx children xx guide xxx creation xx family-oriented xxxx deals xx well xx veg xx non-veg xxxxx mealsFinanceDirectorFinanceFinancialProfitabilityRevenue xxx profit xxxxxxx under xxxxxxxxxxxxxx like xxxxx item xxxxxxxx region xxx The xxxxxxxx will xx centred xxxxxx the xxxxxxxxxxxx of xxx stakeholder xxxx therequirements xxx not xxxxxxx stated xxx analysis xxxx fail xx it xxxx not xxxx the xxx goal xxxx once xx know xxx requirements xxx data xxx be xxxxxx accordingly xxx example xx find xxxxxxxxx every xxxxx I xxxx to xxxxx create x column xxxx will xxxxxxx the xxxxx of xxxx or xx I xxxx to xxxxxxxxx the xxxx by xxxx of xxxx then x have xx have x column xxxxxxx AM xx PM xx reflect xxx time xx the xxx Descriptive xxxxxxxx methodsK-means xxxxxxx analysis xx Regression xxxxxxxx vs xxxxxxxx Tree xxx analysis xxxx be xxxx on xxxxx heads xxxxxxx Goal xxxx Usage xxx Stakeholder xxxxxxxxxxxxxxxxxxxxxxxxxxxxx AnalysisDecision xxxxxxxxxxxx GoalsDiscovery xx data xx grouping xxxx into xxxxxxxx based xx similarity xxxxxxxxxxx like xxxxxx IBM xxxxxxxxx Predicts xxx relationship xxxxxxx a xxxxxxxxx variable xxx an xxxxxxxxxxx variableClassifies x user xxxxxxx using x flow-chart xxxxxxx the xxxx a xxxxxxxx takes xx reach xxxxxxxxx Oracle x i xxxx UsageWorks xx various xxxx sets xxxxxxxx the xxxx is xx predict xx needs xxxxxx an xxxxxxx is xx be xxxxxxx thevariables xxxxxxxx or xxxxxxxxxxxxx without xxxxxxx a xxxxxxxxx data xx avariable xxxxxxx to xxxxxxx the xxxxx for xxxx month xxxxxxxxxxxx month xxxxxxxx has xx be xxxxxxxx Forexample xx figure xxx which xxxxxxxxxxxx more xxxxxxxxxxx BenefitIdentifies xxxxxxxx Personas xxxxxxx spent xx families xxxx children xxxxxxxxxx Identifies xxx much xxxxx will xxxxxx if x specific xxxxx is xxxxxxxxxxxxxxxxxxx the xxxxx of xxxxxxxxxxxxxxxxx based xx specific xxxxxx likeregion xx genderModel xxxxxxxxx for xx analysis xxxxxx cluster xxxxxxxx is xxxx suited xxxxx for xx analysisSince xxx joint xxxxxxxxxx team xxxxx to xxxxxxxxxx the xxxxxxx state xx merged xxxx from xxx newly xxxxxx business xxxx need xx independent xxxxxxxx on xxxxxxx factors xxx leadership xx currently xxx focused xx prediction xxx next xxxxx sales xx figuring xxx the xxxxxxxxxxx of xx outcome xxxx they xxxxxxxxxxxxx in xx to xxxxxxx the xxxx to xxxxxxxxxx the xxxxxxx position xxxxx states xxxxx the xxxx or xxxxx the xxxxx which xxxxxxxx works xxxxx gender xxxxx month xxx Sharda xx al xxxxxxxxxx is xxxxxxxxx used xxxx the xxxxxxxxxx team xxxxx to xxxxxxx the xxxxx or xx predict xxx next xxxxxx sale xxxxxxxx tree xxxx help xxxx understand xxx probability xx an xxxxxxx If xxxx had xx choose xxxxx project xx invest xx out xx amultitude xx options xxxx could xxx decision xxxxx and xxxxxxxxxxx models xxxxxxx today xxxx are xxxx interested xx understanding xxx combined xxxxxx and xx iron xxx issues xxxx which xxxxxxxx to xxxxx upon xxxxx state xx focus xx which xxxx to xxxxxx more xxx Only xxxxxx cluster xxxx help xxxx understand xxxx K-mean xxxxxxx AnalysisThree xxxxxxxxx cluster xxxxxx and xxxxxxxxxxx Listed xxxxx the xxxxx models xxxx and xxx reasoning xxxxxx them xxxxx For xxx first xxxxx I xxxx item xxxxx cost xxx quantity xxxxxxx count xxx automatic x was xxxxxxxx on xxxxxx vs xxxxxxxx to xxxxxxxx high- xxxxx vs xxxxxxxxxxxx customers xxxxx - xxx this xxxxx I xxxx item xxxxx cost xxxxxxxx and xxxx price xxxxxxx count xxx set xx I xxx focusing xx Price xxxxxxxxxxx to xxx the xxxxxx of xxxxxxxxx items xxxxxxxxx by xxx customers xxxxx Third xxxxx was xxxxx on xxxx total xxxx customer xxxx children xxx gender xxxxxxxx payee x was xxxxxxxx on xx Demographic xxxxxxx to xxxxxx specific xxx and xxxxxxx Development xxxxxxxxxxx needs xxxxxxx count xxx set xx Best xxxxx and xxx As xxx me xxx Model xxxxx is xxxxx on xxxxxxxxxxx data xxxxx fits xxx scenario xxxxxx being xxxx this xxxxx incorporates xxx stakeholder xxxxxxxxxxxx regarding xxxxxx and xxxxxx status xxxxxx the xxxxxx directly xxxxxxxxxx for xxx three- xxxx plan xxxxx cluster xxxxxxx the xxxx discrete xxxxxxxxx Discrete xx this xxxxxxxxxxxxxx to xxxxxxxx clusters xxxx have xxxxxx or xx overlaps xxx the xxxxxxxxxx are xxxxx Going xx this xxx first xxxxx is xxx most xxxxxxxx as xxx number xxxxxxxxxxx are xxxxxx Variables xxxx customer xxxx children xxx gender xxxxxxxx payee xxxxx was xxxx in xxxxx will xxxx overlaps xxxxx is xxxx evident xx the xxxxxxx images xxx These xxxxxxxxx Inform xxx Analysis x have xxxx the xxx data xxx transformed xx into xxxxxxxx Persona xx that xxx joint xxxxxxxxxx team xxx do xxxxxxxx marketing x The xxx Manager xxx use xxx High-Spending xxxx cluster xx market xxxxxxx individual xxxxx while xxx Value- xxxxxxx Families xxxxxxx receives xxxxxxx for xxxxxxx Menu xxxxxxxxxxxx - xxx Product xxxxxxxxxxx Manager xxx identify xxxxx products xxx favorites xxx expand xxxxx offerings xxxxxxxxx planning xxx identify xxxxxxx and xxxxxx staffing xxx inventory xxxxxxx statistics xxx each xxxxxxxxxxxxxx statistics xxxx each xxxxx from xxxxxxx is xxxxxxxxx belowModel xxxxxxx belowInputs xxx ClusteringVariables xxx of xxxx Total xxxxxxx of xxxxxxxx With xxxxxxxx Gender xxxxxxxx PayeeLevel xx Detail xxxxxx Customer xxxxxxxxxxxx NormalizedSummary xxxxxxxxxxxxxxxxx of xxxxxxxx Number xx Points xxxxxxxxxxxxx Sum xx Squares xxxxxxxxxxxx Sum xx Squares xxxxx Sum xx Squares xxxxxxxxxxx CommonClustersNumber xx ItemsSum xx Item xxxxx CostSum xx Customer xxxx ChildrenGender xxxxxxxxxxxxxxxxxxxx MCluster xxxxxxxx MCluster xxxxxxxx FNotClustered xxxxx Summary xxxxxxxxxxx for xxxxxxxxxxxxxxxxxxx Sum xx Item xxxxx CostSum xx Customer xxxx Children xxxxxx Customer xxxxxxxxxx of xxxxxx Not xxxxxxxxxxxxxxxxx NormalizedSummary xxxxxxxxxxxxxxxxx of xxxxxxxx Number xx Points xxxxxxxxxxxxx Sum xx Squares xxxxxxxxxxxx Sum xx Squares xxxxx Sum xx Squares xxxxxxxxxxx CommonClustersNumber xx ItemsSum xx Item xxxxx CostSum xx Customer xxxx ChildrenGender xxxxxxxxxxxxxxxxxxxx MCluster xxxxxxxx FCluster xxxxxxxxxxxxx Model xxxxxxx belowInputs xxx ClusteringVariables xxx of xxxx Total xxxxxxx of xxxxxxxx With xxxxxxxx Gender xxxxxxxx PayeeLevel xx Detail xxx AggregatedScaling xxxxxxxxxxxxxxxxx DiagnosticsNumber xx Clusters xxxxxx of xxxxxx Between-group xxx of xxxxxxx Within-group xxx of xxxxxxx Total xxx of xxxxxxx CentersMost xxxxxxxxxxxxxxxxxxxx of xxxxxxxx of xxxx Total xxxxxxx of xxxxxxxx With xxxxxxxxxxxxxx CustomerPayeeCluster xxxxxxxx MCluster xxxxxxxx FNotClustered xxxxxxxxxx the xxxxxxxxx Customer xxxxxxxx Based xx the xxxxxxxxx request xxx subgroups xxx as xxxxxx Subgroup x - xxxx item xxxxx cost xxx high xxxxxxxx This xxxxx consists xxxxxxxxx of xxxxxxxxx with xxxxxxxx often xxxxxxxx during xx hours xxxxxxxx B x Moderate xxxx total xxxx but xxx quantity xxxxx are xxxxxxxxx single xxxxxx often xxxx visiting xxxxxx AM xxxxx hours xxxxxxxx C x Low xxxx total xxxx and xxxx frequency xxxxx customers xxx low- xxxxxx items xxx are xxxxxx sensitive xx price xxxxxxx Compare xxx Contrast xxxxxxxxx comparing xxx subgroups xxxx us xxxx interesting xxxxxxxx Revenue xx volume x Subgroup x drives xxx highest xxxxxx size xxxxxxx Check xxx may xxxxx less xxxxxxxxxx than xxxxxxxx C xxxxxxxxxxx divide xxxxxxxx are xxxxxxx customers xxxxx subgroup x are xxxxxxx customers xxxxxxxxxxx Clusters xxxxxxx in xxxxxxxxxx happen xxxx data xxxxxx share xxxxxxx characteristics xx multiple xxxxxxxxx Some xxxx customers xxx have xxxx a xxxxxxxxxxx purchase xxx might xxxx been xxxxx to xxx family xxxxx Families xxxxxxxx above xxx average xxx not xx necessarily xxxxxx children xxxxxxxxxx Stakeholder xxxxx My xxxxxxxx has xxxxxxxxxxx raw-data xxxx actionable xxxxxx helping xxx stakeholders xx developing x three-year xxxxxxxx plan xx defining xxxxxxxxx and xxxxxxxxxxx personas xxx marketing xxxx can xxxxxx better xxxxxxxxx By xxxxxxxxxxxx menu xxxxx that xxxxx volume xxx margins xxxxxxxxx team xxx focus xx product xxxxxxxxxxxx and xxxxxxxxxxxxxxx volume xx different xxxx of xxx can xxxx resource xxxxxxxx ReferencesIBM xxxxxxxxx What xx clustering xxx https xxx ibm xxx topics xxxxxxxxxxxxxxxx n x What xx a xxxxxxxx tree xxxxxx Data xxxxxxx https xxx oracle xxx artificial-intelligence xxxxxxxxxxxxxxxx what-is-a-decision-tree xxxxxx R xxxxx D xxxxxx E xxxxxxxx intelligence xxxxxxxxx and xxxx science x managerial xxxxxxxxxxx th xx Pearson Read More

Ans. T-Test xxxxxxxx Report xxxxxxxx Ordering xxxxxxxxxxx report xxxxxxxx differences xx customer xxxxxxxx behavior xx time xx day xxx restaurant xxxx Independent xxxxxx t-tests xxxx conducted xx Microsoft... ....... T-Test xxxxxxxx Report xxxxxxxx Ordering xxxxxxxxxxx report xxxxxxxx differences xx customer xxxxxxxx behavior xx time xx day xxx restaurant xxxx Independent xxxxxx t-tests xxxx conducted xx Microsoft xxxxx to xxxxxxxxx whether xxxxxxxx differences xx order xxxxxx and xxxxx value xxx statistically xxxxxxxxxxx or xxx to xxxxxx chance xxxx Ramdas xxxxxxx I xxxxxxxxx whether xxxxxxxx ordering xxxxxxxx differs xx time xx day xx excel xxxxxx were xxxxxxx into xxxxxxx AM xxx afternoon xx categories xxxxx the xxxxx time xx the xxx variable xxx analysis xxxxxxxx differences xx both xxxxx volume xxx average xxxxx amount xxxx the xxxxxx we xxx say xxxx the xxxxxxx order xxxxxx AM xx and xxx average xxxxx amount xx is xx is x two xxxxxx test xxxxxxxxx the xx value xx At xxxxxxxxxxxx level xxx difference xx average xxxxx amount xxxxxxx morning xxx afternoon xxxxxx is xxx statistically xxxxxxxxxxx because xxx p-value xx greater xxxx This xxxxxxxxx that xxx small xxxxxxxxxx in xxxxxxx spending xxxxxxx AM xxx PM xxxxxx is xxxxxx due xx random xxxxxxxxx rather xxxx a xxxx behavioral xxxxxxxxxx Order xxxxxx was xxxxxxxx by xxxxxxxx the xxxxxx of xxxxxxxxxxxx in xxxx time-of-day xxxxx From xxx output xx can xxx that xxxxxxxxx orders xxx marginally xxxxxx than xxxxxxx orders xxx the xxxxxxxxxx is xxxxxxx and xxx large xxxxxx to xxxxxxxx a xxxxxx preference xxx one xxxx period x created x binary xxxxxxxx to xxxxxxxx restaurants xx either xxxxx Place xx Non xxxxx Place xxx then xxxxxxxxx Independent xxxxxxxxxx t-tests xxxxxxxx unequal xxxxxxxxx to xxxxxxx both xxxxx volume xxx average xxxxx amount xxxxxxx these xxx groups xxxx the xxxxxx we xxx say xxxx Pizza xxxxxx had xx average xxxxx total xx while xxxxxxxxx restaurants xxx a xxxxxxxx higher xxxxxxx of xxx two-tailed xxxxxxx from xxx t-test xxx is xxxxxxx than xxx significance xxxxx Therefore xxxxx is xx statistically xxxxxxxxxxx difference xx the xxxxxxx order xxxxxx between xxxxx Places xxx Non- xxxxx restaurants xxxxxxxxxx that xxxxxxxxxx type xxxx not xxxxxxxxxxxx influence xxxxxxx order xxxxx When xxxxxxxxxxx delivery xxxxxx the xxxx of xxx analysis xxxxx that xxxxxxxxxxx between xxxxxxx and xxxxxxxxx orders xxxxxx marginally xxxxxxxxxxx when xxx significancelevel xx relaxed xx This xxxxxxxxx some xxxxxxxx that xxxxxxx orders xxx be xxxxxxxx higher xxxxxxxx the xxxxxxxx of xxxx evidence xx weak xxxxxxxx deliveries xx only xxxxxxxx could xxxxxxxxxx impact xxxxxxxxxxx with xxxxxxxxxxx post-noon xxxxx particularly xxxxxxxxx restaurants xxxxx generate x higher xxxxxxx order xxxxxx Based xx these xxxxxxxx leadership xxxxxx not xxxxxx Pizza xxxxxx exclusively xxx restrict xxxxxxxxxx strictly xx mornings xxxxxxx a xxxxxxxx delivery xxxxxxxx that xxxxxxxxxxx high-volume xxxxxxxxx across xxxx morning xxx afternoon xxxxxxx is xxxxxxxxxxx to xxxxxxx operational xxxxxxxxxx with xxxxxxx retention x t-test xxx used xxxxxxx leadership xxxxxx to xxxxxxx average xxxxx values xxxxxxx two xxxxxx at x time xxxx as xxxxxxx vs xxxxxxxxx orders xxx pizza xx non-pizza xxxxxxxxxxx Test xx this xxxx it xx more xxxxxxxxxxx for xxxxxxxxxxx whether xxxxxxxxxxx between xxx group xxxxxxxx are xxxxxxxxxx whereas xxxxx tests xxx better xxxxxx for xxxxxxxxx three xx more xxxxxx The xxxxxxx showed xxxx the xxxxxxxx were xxxxxxx than xxxxxxx the xxxxxxxxxxx in xxxxxxx order xxxxxxx between xxx groups xxxx not xxxxxxxxxxxxx significant xxxxxxxxxx that xxx observed xxxxxxxxxxx could xxxx occurred xx chance xx cannot xx highly xxxxxxxxx that xxxx of xxx or xxxxxxxxxx type xxx a xxxx impact xx order xxxxx Therefore xxxxx factors xxxxx should xxx drive xxxxx delivery xx operational xxxxxxxxx ReferencesKeselman x J xxxxxx A x Wilcox x R xxxxxxxx K xxx new xxx improved xxxxxxxxxx t xxxx Psychological xxxxxxx - x ller x K x more xxxxxx t-test xxxxxx of xxxxxxxxx and xxxxxxxxxx - xxxx O x T xxxxxxxxxxxxxxxxxxx T xxxx An xxx SPSS xxxxxxxxx to xxxxxxxxx Analysis xxxx H xxxxxx A xxxxxxxxxxxxx t-tests xxx confidence xxxxxxxxx for xxxxxxxx means xxxx unknown xxxxxxxx Sequential xxxxxxxx - Read More

Ans. IntroductionThe xxxxxxxxx of xxx analysis xx to xxxxxxxx potential xxxxxxxxxxxxx for xxxxxxxx expansion xxx an xxxxxxxxxxxx that xxxxxxxxxxx pizza xxxxxxxxxxx dough xxxxxx and xxxxxxxx to xxxxxxxxxxx... ....... IntroductionThe xxxxxxxxx of xxx analysis xx to xxxxxxxx potential xxxxxxxxxxxxx for xxxxxxxx expansion xxx an xxxxxxxxxxxx that xxxxxxxxxxx pizza xxxxxxxxxxx dough xxxxxx and xxxxxxxx to xxxxxxxxxxx across xxx United xxxxxx I xxxxxxx tableau xxxx using x clean xxxxxxxx sales xxxxxxx for xxxxxxxx with xxxxxxxxx income xxxx by xxxxxxxxxx location xx analyze xxxxxxxx distribution xxxxxxx generation xxx demographic xxxxxxxxx Batt xxxxxxx Harmon xxxxxxxxx Creating xxx analyzing xxxx at xxxx the xxxxx and xxx code xxxxxx the xxxxxx identifies xxxxx with xxxxxx revenue xxxxxxxxxxx evaluates xxx household xxxxxx relates xx restaurant xxxxx and xxxxxxxxxx underserved xxxxxxxxxxx markets xxxx present xxxxxxxxxxxxx for xxxxxxxxx I xxxx Restaurant xxxxx Restaurant xxx Code xxxxx Total xxxxxxxx Customer xx and xxxxxx Household xxxxxx variables xx create xxxx Firstly x created xxx to xxxx out xxx number xx customers xx each xxxxx in x S xxxx the xxx New xxxx has xxx highest xxxxxx of xxxxxxxxx with xxxxxxxx by xxxxxxxxxx with xxx map xxxxxxxxx that xxxxxx AK xxx Wyoming xx have xxx lowest xxxxxx of xxxxxxxxx with xxxx Count xx Customers xx U x StateRevenue xx US xxxxx shows xxx total xxxxxxx generated xx restaurants xx each x S xxxxx States xxxx as xxx York xxxxxxxxxx New xxxxxx generate xxx highest xxxxx revenue xxxxxx generates xxx least xxxxxxx among xxx states xxxx aligns xxxx the xxxxxxx customer xxxxx analysis xxxxx both xxxxxx also xxx the xxxxxx customers xxxxxxx by xxxxx Sum xx Order xxxxx ANext x did xxx comparision xx Revenue xxx Median xxxxxxxxx Income xx State xxx map xxxxx that xxxxxx with xxxxxx median xxxxxxxxx incomes xxxxxxxxx tend xx generate xxxxxxxxxxxxxxxx revenue xxx instance xxxxxx such xx New xxxx and xxxxxxxxxx display xxxx higher xxxxxx levels xxx stronger xxxxxxx performance xxxxxxxxxx that xxxxxxxxxxx in xxxxxxxxxxxxxx may xxxxx larger xx more xxxxxxxx ingredient xxxxxx supporting xxx idea xxxx income xx an xxxxxxxxx driver xx sales xxxxxxx the xxxxxxxxxxxx is xxx perfectly xxxxxxxxxx across xxx states xxxx states xxxx moderate xxxxxxxxx income xxxxx generate xxxxxxxxxx strong xxxxxxx while xxxxxxx higher-income xxxxxx show xxxx average xxxxxxx performance xxxxxxxxxx revenue xxxx median xxxxxxxxx income xxxx provide x useful xxxxxxxxxx of xxxxxxxxx product xxxxxxxxx success xxxxxx that xxxxxxx above-average xxxxxxxxx incomewith xxxxxxxx or xxx current xxxxxxx represent xxxxxx expansion xxxxxxxxxxxxx These xxxxx likely xxxx the xxxxxxxxxx power xx support xxxxxxxxx sales xxx may xxxxxxxxx be xxxxxxxxxxx by xxx organization xxxxx revenue xxx with xxxxxx overlayWhen xxx geographic xxxxx is xxxxxxx from xxxxx to xxx Code xxx analysis xxxxxxx that xxx code xxxxxxxxx the xxxxxxx total xxxxx value xxxx a xxx of xxxxx Total xxxxx to xx indicates xxxx restaurants xxxxxxx in xxxx zip xxxx are xxxxx the xxxxxxxxxxxxxxxxxxx in xxxxx of xxxxxxxxxx purchasing xxx zip-code-level xxxxxxxx reveals xxxx ZIP xxxx has xxx lowest xxxxx order xxxxx with x SUM xx Order xxxxx equal xx This xxxxxxxxx extremely xxxxxxx purchasing xxxxxxxx fromrestaurants xx this xxxx during xxx period xxxxxxxx Zip-code-level xxxxxxx mapThe xxxxxxxx indicates xxxxxxx areas xxxxx business xxxxxxxxx and xxxxxxxx marketing xxxxx yield xxxxxx results xxxxxxxxxxxx states xxxx as xxx York xxxxxxxxxx and xxx Jersey xxxxxxx demonstrate xxxxxxxxxxx customer xxxxxxx and xxxxxxxxxx purchases xxxxxxxxxx that xxxxx regions xxx mature xxxxxxx However xxxxx states xxxx moderate xxxxxxx but xxxx household xxxxxx represent xxxxxxxxxxx markets xxxxx restaurants xxxxxx have xxx purchasing xxxxx to xxxxx larger xx more xxxxxxxx orders xxxxxxxxx Mortimer xxxxxxxxx campaigns xx these xxxxx could xxxxxxxxx the xxxxxxx and xxxxxxx of xxxxxxxxxxx introduce xxxxxxxxxxx bundles xx provide xxxxxxxxxxxx discounts xx encourage xxx and xxxxxx orders xxxx zip xxxxx like xxxxxxx well xxx others xxxx low xxxxxxxxxx presence xxxxxxxxx into xxxxx areas xxx capture xxxxxxxx revenue xxxxxxxxx Also xxxxxxx supplier xxxxx and xxxxxxxxx helps xxxxxxxx delivery xxxxxx reduce xxxxx and xxxxxxxx opportunities xxx partnerships xx market xxxxxxxxxxx in xxxxxxxxxxxxxx regions xxxxxxx Nandeshwar xxxxxx Floyd xxxxxxx population xxxxxxx restaurant xxxx competitor xxxxxxxx and xxxxxxxx logistics xxxxx refine xxxxxxxxx strategies xxx improve xxxxxxxxx of xxx customers xxxxxxxxxxxxxx S xxxxxxx T xxxxxx O xxxxxxxxx P xxxxxxxx Tableau x data xxxxxxxxxxxxx tool xxx Journal xx economic xxxxxxxxx - x Hoelscher x Mortimer x Using xxxxxxx to xxxxxxxxx data xxx drive xxxxxxxxx making xxxxxxx of xxxxxxxxxx Education x Stirrup x Nandeshwar x Ohmann x Floyd x Tableau xxxxxxxx Interactive xxxx Visualizations xxxxx Publishing xxx Read More

Ans. PROJECTPart xxx Transforming xxxx and xxxxxxxxxxx TrendsDepartment xx Business xxxxxxxx New xxxxxxxxx University xxx Descriptive xxxxxxxx AnalyticsThe xxx and xxx datasets xxxx common xxxxxxxxx such x... ....... PROJECTPart xxx Transforming xxxx and xxxxxxxxxxx TrendsDepartment xx Business xxxxxxxx New xxxxxxxxx University xxx Descriptive xxxxxxxx AnalyticsThe xxx and xxx datasets xxxx common xxxxxxxxx such xx item xxxxxxxx coupon xxx no xxxxx purchase xxxxxx and xxxxxx of xxx customer xxxxx However xxxx data xxxxxxxxxxx have xxxxxxx issues xxx ABC xxxxxxxxx order xxxxxx variable xxx different xxxxx Some xxxxxxx are xx Arial xxxxx others xxx in xxxxxxx Moreover xxx item xxxxxx and xxxx code xxxxxx are xxx same xxxxxxxxxxxxxxxxx The xxxxxxxx with xxxxxxxx column xxxx has xxxxx formatting xx some xxxxxx are xxxxxxx to xxx right xxx others xxx centered xxxxxxxx the xxx dataset xxx font xxxxxxxxxxxxxxx Arial xx Calibri xxx the xxxxxxx cost xxxxxxxx has xxxx blanks xxxx making xxx data xxxxxxxxxx Similar xx ABC xxx item xxxxxx and xxxx code xxxxxx are xxxxxxxxxx and xxx quantity xxxxxxxx has xxxxx formatting xxx and xxxx explain xxxx font xxxxxxxxxxx do xxx affect xxx technical xxxxxx of xxx data xxxxxxxxxxxxx but xxxx can xxxxxxxxx data xxxxxxx user xxxxxxxxxx and xxxxxx consistency xx the xxxxx hand xxxxxxx values xxxx as xxx blank xxxxxxx cost xxxxxxx in xxx are x direct xxxx integrity xxxxx that xxxxx to xxxxxxxx in xxxxxxxx and xxxxxxxx making x used xxxx profiling xx find xxxxx mistakes xxx omissions xxxx profiling xx an xxxxxxxx that xxxxxxxxxxxxxxx evaluates xxx summarizes xxxx to xxxxxxxxx its xxxxxxx structure xxx content xx Koukaras xxx Tjortjis xxxxx data xxxxxxxxx helps xxxxxx patterns xxxxxxx inconsistencies xxx assess xxxxxxxxxxxxx thus xxxxxxxx organizations xx determine xxx suitability xx the xxxx for xxxxxxxxx reporting xx business xxxxxxxxx This xxxx is x critical xxxxx phase xx any xxxx related xxxxxxxxxx such xx data xxxxxxxxxxx and xxxx cleansing xx it xxxxxx to xxx surface xxxxxx like xxxxxxx values xxxxxxxxxxxxxxx and xxxxxxxx formatting xxxxxxx the xxxxxxxx trends xx month xxx seasonThe xxxxx step x took xx preparing xxx ABC xxxxxxx for xxxxxxxx was xx clean xxx Order xxxxxx column xx Power xx Desktop xxxxx the xxxxx Query xxxxxx I xxxxxxx that xxx order xxxxxxx contained xx extra xxxxxxxxx C xxxx prevented xxxxxxxxx analysis xx I xxxxx changed xxx column x data xxxx to xxxx I xxxx removed xxx extra x using xxxxxxxxx Replace xxxxxx leaving xxxx numeric xxxxxxxxxx Once xxx cleaning xxx complete x reconverted xxx column xx a xxxxx Number xxxx type xx standardize xxx order xxxxxxx and xxxx them xxxxx for xxxxxxx filtering xxx creating xxxxxxxxxxxxx Next x created x Month xxxxxxxx from xxx Order xxxx column x used xxx Column xxxxxx from xxxxxxxx and xxxxx sample xxxxx names xxxx January xxx February xxxxxxxx Power xx to xxxxxxxxxxxxx generate xxx month xxxxxx This xxxx was xxxxxxxxx because xxxxxx a xxxxx variable xxxxxxx me xx analyze xxxxx trends xxxx time xxxxxxx I xxxxx a xxxxxx column xxxxx a xxxxxxxxxxx Column x named xxx new xxxxxx Season xxx defined xxxxxxxxxx so xxxx December xxxxxxx and xxxxxxxx were xxxxxxxx Winter xxxxx April xxx May xx Spring xxxx July xxx August xx Summer xxx all xxxxx months xx Fall xxxx allowed xx to xxxxxx each xxxxxxxxxxx a xxxxxx based xx its xxxxx month xxxxx will xxxx in xxxxxxxxx seasonal xxxxx patterns xx month xxx seasonPeak xxxxx are xx the xxxxx of xxxxx and xxxxxxxx has xxx lowest xx can xxxx observe xxxx highest xxxxx are xx spring xxx lowest xxxxx are xx Fall xx genderFrom xxx bar xxxxx we xxx say xxxx Men xxxxxx more xxxx women xx regionFrom xxx filled xxx we xxx observe xxxx florida xxx the xxxxxxx sales xxx Maine xxx the xxxxxx sales xx customers xxxx and xxxxxxx childrenFrom xxx Chart xx can xxxxxxx that xxxxx is xxxxxx equal xxxxx cost xxx customers xxxx and xxxxxxx children xxxxxxxx of xxxxx and xxxxxxxxxxx productsSince xxx dataset xxxxxxxx all xxxxxx each xxxxx has xxx own xxxx and xxxxxxxxxxxxxx products xxx same xx true xxxx looking xx seasonal xx monthly xxxxx The xxxx also xxxxxxxxxxx large xxxx we xxxxx it xxxx by xxxxxx or xx whether xxxxxxxxx have xxxxxxxx or xxx Therefore x have xxxxxxx out xxx five xxxxxxx items xxx bottom xxxx selling xxxxx as x whole xxx five xxxxxxx items xxx Reuben xxxxxxxx Cincinatti xxxxxx Penne xxxx Vodka xxxxxxx Water xxx American xxxx Suey xxxxxx five xxxxxxx items xxx Tasty xxxxxxxxx Chocolate xxxx Sphagetti xxx Whole-Wheat xxxxx and xxxxx Rings xxxxxxx the xxxxxxxxxxxxx of xxxxxxxx The xxxxxx generating xxx highest xxxxxxx are xxxxxxxxxx Florida xxxxx New xxxx and xxxx while xxx lowest xxxxxxx comes xxxx Maine xxxxxxxx Vermont xxxxx Dakota xxx Puerto xxxx Revenue xx season xx highest xx Spring xxxxxxxx by xxxxxx Summer xxx Fall xxx months xxxx the xxxxxxx revenue xxx April xxxxx February xxxxxxx and xxxxxx whereas xxxxxxx December xxxxxxxx June xxx September xxxx the xxxxxx revenue xxxx customers xxxxxxxxxxx slightly xxxx revenue xxxx female xxxxxxxxx Orders xxxx customers xxxx children xxxxxxxx in xxxxxxxxxx higher xxxxxxx compared xx those xxxxxxx children x Qualitative xxxxxxxxx - xxxxxxxxxx state xxxx category xxxxxx customer xxxxx Season xxxxx purchase xxxxxxxxxxxxxxxxxx variables x item xxxxx cost xxxxxxx quantity xxxx price xxxxx total xxxx B x created x clustered xxx chart xx display xxxxxxx across xxx merged xxxxxxx s xxxxxxxxxxxx footprint xxxxxxx is xxxxxxxxxxxx in x few xxxxxx rather xxxx evenly xxxxxxxxxxx Florida xxxxxx out xx an xxxxxxx contributing x disproportionately xxxxx portion xx the xxxxx revenue xxxxxxxx of xxxxxxx checks xx item xxxxxxxx and xxxx of xxx shows xxxx PM xxxxxx consistently xxxx higher xxxxxx than xx orders xxxxxxxx pizza xxx sandwiches xxxxxxxxxx the xxxx to xxxxxxx while xxxxxxxxx generate xxx lowest xxxxxx This xxxxxxxxx that xxxxxxxxxxxxxxxx tend xx place xxxxxx or xxxx expensive xxxxxx which xxx inform xxxx planning xxx promotion xxxxxxxxxx Next x used x stacked xxx chart xx determine xxxxxxxx demographics xx gender xxx whether xxxx have xxxxxxxx The xxxxx shows xxxx the xxxxxxxxxxxx is xxxxxx equal xxxxxx all xxxxxxx indicating xxxx the xxxxx has xxxxx appeal xxx likelihood xx a xxxxxxxx having xxxxxxxx remains xxxxxx consistent xxxxxxxxxx of xxxxxx Additionally xxx data xxxxx seasonal xxxxxx with x significant xxxxx in xxxxx and x noticeable xxx in xxxx again xxxxxxxx till xxxxxx and xxxx fell xxxx in xxxxxxx C xxxxxxxx and xxxxxxxxxxxxx by xxxxx Florida xxxxxxxxx the xxxxxxx revenue xxxxx Maine xxxxxxxxxxx the xxxxxx Average xxxx Cost xxxxxxxxx have xxx highest xxxxxxx item xxxx whereas xxxxx has xxx lowest xxxx of xxx Sales xxx higher xx the xxxxxxxx compared xx evenings xxxxxxxxxx strong xxxxxxxxx or xxxxx demand xxxxxxx Trends xxxxxx shows xxx highest xxxxxxx sales xxxxx December xxxxxxx the xxxxxx D xxxxxxx Statistics xxx Total xxxxx Value xxxx Standard xxxxx Median xxxx Standard xxxxxxxxx Sample xxxxxxxx Kurtosis xxxxxxxx Range xxxxxxx Maximum xxx Count xxxxx order xxxxx data xx right xxxxxx Skewness xxxx a xxx very xxxxx orders xx can xx seen xx the xxxx and xxxxxxx values xxxx of xxx orders xxx smaller xxxxxxxxx around xxx median xx The xxxxxxx range xx values xx large xxxxxxx that xxxxx is xxxxxxxxxxx in xxxxxxxx spending xxxxxxxxxxxxx K xxxx D xxxxxxxxxx career xxxxxxxx and xxxxxxxxxxxxxxx development xxx university xxxxxxxx using xxxxxxxxxx intelligence xxx machine xxxxxxxx Journal xx Computational xxxxxxx in xxxxxxxx Engineering xxxxx doi xxx Koukaras x Tjortjis x Data xxxxxxxxxxxxx and xxxxxxx Engineering xxx Data xxxxxx Techniques xxxxx and xxxx Practices xx https xxx org xx PROJECTPart xxx Stakeholder xxxxxxxxxxxx and xxxxxxxxxxx Analysis xxxxx ApplicationDepartment xx Business xxxxxxxx New xxxxxxxxx University xxx Descriptive xxxxxxxx AnalyticsAfter xxxxxxxx and xxxxxxxxxxxx the xxxx in xxxx One x progressed xx more xxxxxxxx analytics xx Milestone xxx by xxxxxxxxxxx and xxxxxxxxxx key xxxxxxxxxxx requirements xxx purpose xx this xxxxx is xx generate xxxxxxxxxxx insights xxxx will xxxx the xxxxx ABC xxx leadership xxxx understand xxx current xxxxx of xxx newly xxxxxx organization xxx use xxxxx insights xx develop x data-driven xxxxxxxxxx profitability xxxx Identifying xxxxxxxxxxxx requirementsUsing xxx Stakeholder xxxxxxxxxxxx Document x identified xxx primary xxxxxxxxxxxxxxxxx and xxxxxxxxxx their xxxxx into xxxxxxxx analytical xxxxxxx that xxxxxxx decision-making xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx UseRegional xxxxxxxxxxxxxxxxxxxxx Sales xxxxxxxxxxxxxxxxxxx high- xxx low-performing xxxxxxx to xxxxx staffing xxxxxxxxx and xxxxxxxxxxxxxxxxxx MarketingDirectionMarketingSeasonal xxxxxxxxxxxxxxxxxxxx promotions xxx campaigns xxxxxxx monthly xxx quarterly xxxxxx trends xxxxxxxxxxxx and xxxxxxxxxxxxxxxxxxxxx SegmentationTo xxxxxxxxxx the xxxxxxxx behaviour xxxxxxx the xxxxxxx as xxxx between xxxxxxx without xxxxxxxx familiesProduct xxxxxxxxxx t xxxxxxxxxxxxxxxxxxxxxxxxxxxx EvaluationAn xxxxxxxxxx of xxxxxxxxxxx betweencustomers xxxx and xxxxxxx children xx guide xxx creation xx family-oriented xxxx deals xx well xx veg xx non-veg xxxxx mealsFinanceDirectorFinanceProfitabilityanalysisPrioritize xxxxxxxxxxx items xxxxxxxxxx andregions xxx investment xxx analysis xxxx be xxxxxxxx on xxxxxxxxxxx requirements xx clearly xxxxxxxxxxxxxxxxxxx are xxxxxxxxx to xxx success xx any xxxxxxxx If xxx requirements xxx not xxxx understood xxxx the xxxxxxxxx the xxxxxxxx is xxxxxxxx to xxxx the xxxxxxxx objectives xxxx the xxxxxxxxxxxx are xxxxxxxxxx the xxxx can xx sliced xxx structured xxxxxxxxxxx For xxxxxxx toanalyze xxxxxxx sales xxxxxx I xxxxx first xxxx to xxxxxx a xxxxxx that xxxxxxxxxx the xxxxx of xxxx sale xxxxxxxxx if xxx goal xx to xxxxxxx sales xx time xx day x column xxxxxxxxxxxxxx AM xxx PM xxxxx be xxxxxxxxx Descriptive xxxxxxxx methodsK-means xxxxxxx analysis xx Regression xxxxxxxx vs xxxxxxxx Tree xx Random xxxxxx The xxxxxxxx will xx done xx three xxxxx Primary xxxx Data xxxxx and xxxxxxxxxxx BenefitCriteriak-meansRegressionAnalysisDecision xxxxxxxxxxxxxxxxxxxxxxxx GoalsDiscovery xxxxxxxxxx theClassifies xxxxxxxxxxxxx by xxxxxxxxxxxxxxxxxxxxxxxx journeypredictivethem xxxxxxxxxxx ausing x flow-accuracy xxxxxxxxxx based xxxxxxxxxxxxxxxx showingcombiningsimilarity xxxxxxxxxx and xxxxx path xxxxxxxxxxxxxxxxxx likeindependentcustomer xxxxxxxxxxxxx treesregion xxx Education xxxxxxxxxx reach xx outcome xxxxxx n x into xxxxxxxxxx modelData xxxxxxxxxx on xxxxxxxxxxxx the xxxx isSince xxxxxxxxxxxxxx sets xxxxx predict xxxxxxxxx is xxxxxxxxxxxxxxxxxx needs x basebe xxxxxxx thetraining xxxx together xxxxxx or xxxxx has xx beuses xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Forsubsets xx datawithout xxxxxxxxxxxxxx toexample xxxxx variablesa xxxxxxxxxxxx the xxxxxxxxxxx outto xxxxxxxxx next xxxxx which xxxxxxxxxxxxxxxxxxxxx previousspends xxxx month xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx howVisualizes xxxxxxxxxxx highBenefit xxxxxxxxxxxx sales xxxxxxxxx ofpredictionPersonas xxxxxx if xxxxxxxxxxxxxxxxx butexample xxxxx ofspecific xxxxx isdecisionslimitedfamilies xxxxxxxxxxxxxxxxxx oninterpretabilitychildren xxxxxxxxxxx splits xxxxxx it xxxxxxxxxxx like xxxxxx orsuitable xxxxxxxxxxxxxxxxxxxx descriptivebusinessanalysisModel xxxxxxxxx for xx analysis xxxxxx cluster xxxxxxxx is xxxx suited xxxxx for xx analysisSince xxx joint xxxxxxxxxx team xxxxx to xxxxxxxxxx the xxxxxxx state xx merged xxxx from xxx newly xxxxxx business xxxx need xx independent xxxxxxxx on xxxxxxx factors xxx leadership xx currently xxx focused xx prediction xxx next xxxxx sales xx figuring xxx the xxxxxxxxxxx of xx outcome xxxx they xxxxxxxxxxxxx in xx to xxxxxxx the xxxx to xxxxxxxxxx the xxxxxxx position xxxxx states xxxxx the xxxx or xxxxx the xxxxx which xxxxxxxx works xxxxx gender xxxxx month xxx Sharda xx al xxxxxxxxxx is xxxxxxxxx used xxxx the xxxxxxxxxx team xxxxx to xxxxxxx the xxxxx or xx predict xxx next xxxxxx sale xxxxxxxx tree xxxx help xxxx understand xxx probability xx an xxxxxxx If xxxx had xx choose xxxxx project xx invest xx out xx a xxxxxxxxx of xxxxxxx they xxxxx use xxxxxxxx treen xxx probability xxxxxx However xxxxx they xxx only xxxxxxxxxx in xxxxxxxxxxxxx the xxxxxxxx entity xxx to xxxx out xxxxxx like xxxxx category xx build xxxx which xxxxx to xxxxx on xxxxx item xx market xxxx etc xxxx k-mean xxxxxxx will xxxx them xxxxxxxxxx this xxxxxx cluster xxxxxxxxxxxxx different xxxxxxx models xxx differences xxxxxx below xxx three xxxxxx used xxx the xxxxxxxxx behind xxxx Cluster xxxxxx Conducted xxxxx For xxx first xxxxx I xxxx item xxxxx cost xxx quantity xxxxxxx count xxx automatic x was xxxxxxxx on xxxxxx vs xxxxxxxx to xxxxxxxx high- xxxxx vs xxxxxxxxxxxx customers xxxxx - xxx this xxxxx I xxxx item xxxxx cost xxxxxxxx and xxxx price xxxxxxx count xxx set xx I xxx focusing xx Price xxxxxxxxxxx to xxx the xxxxxx of xxxxxxxxx items xxxxxxxxx by xxx customers xxxxx Third xxxxx was xxxxx on xxxx total xxxx customer xxxx children xxx gender xxxxxxxx payee x was xxxxxxxx on xx Demographic xxxxxxx to xxxxxx specific xxx and xxxxxxx Development xxxxxxxxxxx needs xxxxxxx count xxx set xx Best xxxxx and xxx According xx me xxx Model xxxxx is xxxxx on xxxxxxxxxxx data xxxxx fits xxx scenario xxxxxxx this xxxxx incorporates xxx stakeholder xxxxxxxxxxxx regarding xxxxxx and xxxxxx status xxxxxx the xxxxxx directly xxxxxxxxxx for xxx three- xxxx plan xxxxx cluster xxxxxxx the xxxx discrete xxxxxxxxx Discrete xx this xxxxxxxxxxxxxx to xxxxxxxx clusters xxxx have xxxxxx or xx overlaps xxx the xxxxxxxxxx are xxxxx Going xx this xxx first xxxxx is xxx most xxxxxxxx as xxx number xxxxxxxxxxx are xxxxxx Variables xxxx customer xxxx children xxx gender xxxxxxxx payee xxxxx was xxxx in xxxxx will xxxx overlaps xxxxx is xxxx evident xx the xxxxxxx images xxx These xxxxxxxxx Inform xxx Analysis x have xxxx the xxx data xxx transformed xx into xxxxxxxx Persona xx that xxx joint xxxxxxxxxx team xxx do xxxxxxxx marketing x The xxx Manager xxx use xxx High-Spending xxxx cluster xx market xxxxxxx individual xxxxx while xxx Value- xxxxxxx Families xxxxxxx receives xxxxxxx for xxxxxxx Menu xxxxxxxxxxxx - xxx Product xxxxxxxxxxx Manager xxx identify xxxxx products xxx favorites xxx expand xxxxx offerings xxxxxxxxx planning xxx identify xxxxxxx and xxxxxx staffing xxx inventory xxxxxxx statistics xxx each xxxxxxxxxxxxxx statistics xxxx each xxxxx from xxxxxxx is xxxxxxxxx belowModel xxxxxxx belowInputs xxx ClusteringVariables xxx of xxxx Total xxxxxxx of xxxxxxxx With xxxxxxxx Gender xxxxxxxx PayeeLevel xx Detail xxxxxx Customer xxxxxxxxxxxx NormalizedSummary xxxxxxxxxxxxxxxxx of xxxxxxxx Number xx Points xxxxxxxxxxxxx Sum xx Squares xxxxxxxxxxxx Sum xx Squares xxxxx Sum xx Squares xxxxxxxxxxx Common xxxxxxxxxxxxxx ofSum xx ItemSum xx CustomerGender xxxxxxxxxx CostWith xxxxxxxxxxxxxxxxxxxxxxxxxxxx MCluster xxxxxxxx MCluster xxxxxxxx FNotClustered xxxxx Summary xxxxxxxxxxx for xxxxxxxxxxxxxxxxxxx Sum xx Item xxxxx CostSum xx Customer xxxx Children xxxxxx Customer xxxxxxxxxx of xxxxxx Not xxxxxxxxxxxxxxxxx NormalizedSummary xxxxxxxxxxxxxxxxx of xxxxxxxx Number xx Points xxxxxxxxxxxxx Sum xx Squares xxxxxxxxxxxx Sum xx Squares xxxxx Sum xx Squares xxxxxxxxxxx CommonClustersNumber xx ItemsSum xx Item xxxxx CostSum xx Customer xxxx ChildrenGender xxxxxxxxxxxxxxxxxxxx MCluster xxxxxxxx FCluster xxxxxxxxxxxxx Model xxxxxxx belowInputs xxx ClusteringVariables xxx of xxxx Total xxxxxxx of xxxxxxxx With xxxxxxxx Gender xxxxxxxx PayeeLevel xx Detail xxx AggregatedScaling xxxxxxxxxxxxxxxxx DiagnosticsNumber xx Clusters xxxxxx of xxxxxx Between-group xxx of xxxxxxx Within-group xxx of xxxxxxx Total xxx of xxxxxxx CentersMost xxxxxxxxxxxxxxxxxxxx of xxxxxxxx of xxxx Total xxxxxxx of xxxxxxxx With xxxxxxxxxxxxxx CustomerPayeeCluster xxxxxxxx MCluster xxxxxxxx FNotClustered xxxxxxxxxx the xxxxxxxxx Customer xxxxxxxx Based xx the xxxxxxxxx request xxx subgroups xxx as xxxxxx Subgroup x - xxxx item xxxxx cost xxx high xxxxxxxx This xxxxx consists xxxxxxxxx of xxxxxxxxx with xxxxxxxx often xxxxxxxx during xx hours xxxxxxxx B x Moderate xxxx total xxxx but xxx quantity xxxxx are xxxxxxxxx single xxxxxx often xxxx visiting xxxxxx AM xxxxx hours xxxxxxxx C x Low xxxx total xxxx and xxxx frequency xxxxx customers xxx low- xxxxxx items xxx are xxxxxx sensitive xx price xxxxxxx Compare xxx Contrast xxxxxxxxx comparing xxx subgroups xxxx us xxxx interesting xxxxxxxx Revenue xx volume x Subgroup x drives xxx highest xxxxxx size xxxxxxx Check xxx may xxxxx less xxxxxxxxxx than xxxxxxxx C xxxxxxxxxxx divide xxxxxxxx are xxxxxxx customers xxxxx subgroup x are xxxxxxx customers xxxxxxxxxxx Clusters xxxxxxx in xxxxxxxxxx happen xxxx data xxxxxx share xxxxxxx characteristics xx multiple xxxxxxxxx Some xxxx customers xxx have xxxx a xxxxxxxxxxx purchase xxx might xxxx been xxxxx to xxx family xxxxx Families xxxxxxxx above xxx average xxx not xx necessarily xxxxxx children xxxxxxxxxx Stakeholder xxxxx My xxxxxxxx has xxxxxxxxxxx raw-data xxxx actionable xxxxxx helping xxx stakeholders xx developing x three-year xxxxxxxx plan xx defining xxxxxxxxx and xxxxxxxxxxx personas xxx marketing xxxx can xxxxxx better xxxxxxxxx By xxxxxxxxxxxx menu xxxxx that xxxxx volume xxx margins xxxxxxxxx team xxx focus xx product xxxxxxxxxxxx and xxxxxxxxxxxxxxx volume xx different xxxx of xxx can xxxx resource xxxxxxxx ReferencesIBM xxxxxxxxx What xx clustering xxx https xxx ibm xxx topics xxxxxxxxxxxxxxxx n x What xx a xxxxxxxx tree xxxxxx Data xxxxxxx https xxx oracle xxx artificial-intelligence xxxxxxxxxxxxxxxx what-is-a-decision-tree xxxxxx R xxxxx D xxxxxx E xxxxxxxx intelligence xxxxxxxxx and xxxx science x managerial xxxxxxxxxxx th xx Pearson Read More

Ans. After xxxxxxxx the xxxxx discussing xxxxxx cognitive xxxxxx I xxxxxxxxxx that x am xxxx likely xx be xxxxx to xx my xxxxxxxx are xxxxxxxxx bias xxx confirmation xxxx Practical xxxxxxxxxx Anchoring xxx... ....... After xxxxxxxx the xxxxx discussing xxxxxx cognitive xxxxxx I xxxxxxxxxx that x am xxxx likely xx be xxxxx to xx my xxxxxxxx are xxxxxxxxx bias xxx confirmation xxxx Practical xxxxxxxxxx Anchoring xxxx occurs xxxx I xx dependent xx the xxxxx piece xx information xxxxx I xxxxxxxxx such xx forecast xx prior xxxx s xxxxxxxxxxxx This xxx limit xx ability xx adjust xxxxxxxxxxx even xxxx new xx more xxxxxxxx data xxxxxxx available xx a xxxxxxxx context xxxx may xxxx to xxxxxxxxxxxx or xxxxxxxx recommendations xxxxxxxxxx in xxxxxxx environments xxxxx conditions xxxxxx rapidly xxxxxxxxx Psychology xxxxxxxxxxxx bias xx another xxx of xx biases xxxx has xx impact xx my xxxxxxxx It xxx influence xx work xx making xx concentrate xxxx on xxx data xxxx supports xx initial xxxxxxxxxx and xx the xxxx time x may xxxxxxxxxxxxxxx neglect xxx evidence xxxx contradicts xxx instance xx I xxxxxxx that x certain xxxxxxxxx strategy xxxx work x may xxxxx more xx the xxxxxxx that xxxxxxxx positive xxxxxxx and xxxxxx the xxxxxxxx ones xxxxxxxxx Psychology xxxx in xxxx can xxxx to xxxxxx up xxxxxxx fully xxxxxxxxx the xxxxxxxxxxx of xxx data xxxx I xxxxx the xxxxxxx with xx manager xxxx bias xxx cause xx to xxxxxxx a xxx sided xxxx that xxxxx sufficient xxxxxxxxxx of xxxxx and xxxxx interpretations x believe xxxx just xxxxxxx numbers xx graphs xx enough xxx the xxxxxxx to xxxxxxxxx the xxxx as x do xxxxxxx managers xxxx with xxxxx own xxxxxxxxxxx assumptions xxx biases xx there xx no xxxxxx context xxxxxxxxxxx and xxxxxxx accurate xxxxxxx can xx misunderstood xx misused xx well xx order xx compensate xxxxx biases x firstly xxxxxx the xxxxxxxx can xxxxxxxxx my xxx assumptions xxx actively xxxx for xxxxxxxxxxxxx evidence xxxxxxxx instead xx a xxxxxx conclusion x can xxxxxxxxxx various xxxxxxxxx or xxxxxxx alternative xxxxxxxxxxxx When xxxxxxxxxxx and xxxxxxx I xxxx choose xxxxx appropriate xxxxxxx to xxxxx misleading xxxxxx and xxxxxxxxxx explain xxxx the xxxxxx shows xxx why xx matters xxxxxxxxxxxxxxxxxxx Psychology xxxxxxxxx Biases xxxxxxxxx - xxx to xxxxx Better xxx More xxxxxxxxx Removing xxxx YouTube xxxxx In xxxxxxx https xxx youtube xxx watch x wEwGBIr xxx Read More

Ans. Geometric xxxxxxxxxxxx Geometric xxxxxxxxxxxx formula xx P x x x x- x GeeksforGeeks xxxx the xxxxxxxx given x x xxxxxxxxxxxx these xxxxxx in xxx formula xx get x X x P x P x P x The xxxxxxxxxxx that x... ....... Geometric xxxxxxxxxxxx Geometric xxxxxxxxxxxx formula xx P x x x x- x GeeksforGeeks xxxx the xxxxxxxx given x x xxxxxxxxxxxx these xxxxxx in xxx formula xx get x X x P x P x P x The xxxxxxxxxxx that xxx third xxxxxx attempt xxxx be xxx first xxxxxxxxxx one xx Hypergeometric xxxxxxxxxxxxxxxxxxxxxxxxxx distribution xxxxxxx is x X x m x mxN-mn-xNn xxxxxxxxxxxxx Given x m x x xxxxxxxxxxxx these xxxxxx in xxx formula xx getP x P x - x Now xx have xx calculate xxxx binomial xxxxxxxxxxx The xxxxxxx for xxxx binomial xxxxxxxxxxx is xx a x a-b xxxxx excel x calculated xxx binomial xxxxxxxxxxx for xxxx of xxxx Substituting xxxxx values xx the xxxxxxxxxxxxxx formula xx get xxx probability xxxx exactly xx these xxxxxxxx samples xxxx flu xx References xxxxxxxx B xxxx S xxxxxxxx D xxxxxx B xxxx S xxxxxxx M xxxxxxxxx J xxxxxx L xxx S xxx Taub x Introductory xxxxxxxxxx e xxxxxxxx https xxxxxxxx org xxxxxxx books xxxxxxxxxxxxxxxxxxxxxxxx e xxxxxxxx under x Creative xxxxxxx Attribution xxxxxxxxxxxxx May xxxxxxxxxxxxxx Distribution xxxxxxx GeeksforGeeks xxxxx www xxxxxxxxxxxxx org xxxxx hypergeometric-distribution-formula xxxxxxxxxxxxx May xxxxxxxxx Distribution xxxxxxx Mean xxx Examples xxxxxxxxxxxxx https xxx geeksforgeeks xxx maths xxxxxxxxxxxxxxxxxxxxxx Read More

Ans. A xxx f x for x continuous xxxxxxxx x xx non-negative xxxx that xxx probability xxxx x xxxxx in xxx interval x b xx the xxxxxxxx of x over xxxx interval xxxxxxxx vs xxxxxxxxxx n x A xxxxxxxx probabili... ....... A xxx f x for x continuous xxxxxxxx x xx non-negative xxxx that xxx probability xxxx x xxxxx in xxx interval x b xx the xxxxxxxx of x over xxxx interval xxxxxxxx vs xxxxxxxxxx n x A xxxxxxxx probability xxxxxxxx is xxxxxxxxx by xxx probability xxxx function xx considers xxx countable xxxxxx and xxxx value xx associated xxxx probability xxxx The xxx is xxxxx by x a x b xxxxxx Given xxxxxxx time xxxxxxxxxxxxxx time xxxxxxxxxxxxxxx of xxxxxxxx is xxxxxxx to xxxxxxxxxxxxxx b-a xxx a x b x P x dx x x x P x P x Given xxxx Formula xxx exponential xxxxxxxxxxxx CDF xx P x x x e- x The xxxxxxxxxxx Distribution xxxxxxxxxxxx to xxxxxxxxxx n x P x - xx P x - xx P x - xx P x - x X xxxxxxxxxxxxxxxxxx vs xxxxxxxxxx n x Stattrek xxx https xxxxxxxx com xxxxxxxxxxxxxxxxxxxxxxxxx discrete-continuousThe xxxxxxxxxxx Distribution xxxxxxxxxxxx to xxxxxxxxxx n x Courses xxxxxxxxxxxxx com xxxxx courses xxxxxxxxxxxxx com xxxxxxxxxx chapter xxxxxxxxxxxxxxxxxxxxxxxxxxxx Read More