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Data Science Applications

Data Science Applications didn't suddenly start serving a different purpose. Because of quicker computers and less expensive storage, we can now predict outcomes in minutes rather than the many human hours it used to take to process them.<br><br>

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Data Science Applications

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  1. DataScienceApplications DataScienceApplicationsdidn'tsuddenlystartservingadierentpurpose. Becauseofquickercomputersandlessexpensivestorage, we cannow predictoutcomesinminutesratherthanthemanyhumanhoursitusedto taketoprocessthem. WhatisDataScience? Theentireprocessofextractingusefulinformationfromunstructureddata usingideaslikestatisticalanalysis,dataanalysis,machinelearning techniques,datamodeling,datapreparation,etc.isknownasdatascience. Datascienceisafieldofstudywheredataisprocessedusingsophisticated statisticalandmathematicaltheoriesandmachinelearningtechniquesto produceinsightsthatmaybeusedtosolvereal-worldissues.

  2. Why Data Science? • Currently,thereisahugedemandforqualifieddatascientistsacrossall businesses.Theyrankamongthebest-paid workersintheITsector.Adata scientistearnsanaverage payof$110,000peryear,makingitthefinest professioninAmerica,accordingtoGlassdoor.Fewpeoplehavetheability toextractusefulinsightsfromunprocesseddata. • Thisdataisgatheredfromallrelevantresources,including • Postsonsocialmedianetworksthatcollectinformationfrom shoppersusingsensorsinmalls • Imagesandmoviestakenwithsmartphonesaredigital • E-commercetransactionsforpurchases • Bigdatareferstothisinformation. • Hugevolumesofdataareconstantlyfloodingintoorganizationsand businesses.Therefore,understandingwhatto dowithandhowtousethis dataiscrucial. • Theideaofdatascienceisdepictedintheimageabove.Itcombinesavariety ofabilities,includingstatistics,math,andbusinessdomainknowledge,and aidsorganizationsin: • Reducingexpenses • developbrand-newmarkets • Utilizedierentdemographics • measurethesuccessofmarketinginitiatives • Introducefreshgoodsorservices

  3. Applications of Data science • Healthcare • Datascienceapplicationsareveryhelpfulforthehealthcaresector.Thefield ofdatascienceisrapidlyadvancinginthehealthcareindustry.Manyareasofthehealthcareindustryusedatascience. • MedicalImageAnalysis • DrugDevelopment • Virtual Assistants andHealthbots MedicalImageAnalysis Procedureslikedetectingmalignancies,arterystenosis,andorgan delineationuseavarietyofmethodsandframeworkslikeMapReduceto findthebestparametersfortaskslikelungtexturecategorization.It employsmachinelearningmethodsforsolidtextureclassification, includingwaveletanalysis,content-basedmedicalpictureindexing,and supportvectormachines(SVM).

  4. DrugDevelopment • Datascienceapplicationsandmachinelearningalgorithmsstreamlineand acceleratethisprocess,givingafreshperspectivetoeachstep,fromthe firstscreeningofmedicinalsubstancestothepredictionofthesuccessrate basedonbiologicalcharacteristics. • Usingcomplexmathematicalmodelingandsimulations,thesealgorithms canforecasthowthechemicalwillreactinthebodyinplaceof"labtests." Theconstructionofcomputermodelsimulationsintheshapeofa biologicallysuitablenetwork,whichmakesitsimplertopredictfuture eventswithhighaccuracy,istheaimofcomputationaldrugdevelopment. • VirtualAssistantsandHealth bots • AI-poweredsmartphoneapps,whicharefrequentlychatbots,maybe usedtoprovidebasichealthcareassistance. • Youonlyneedtodescribeyoursymptomsorposeaquestiontolearn importantdetailsaboutyourhealthstatefromawidenetworkof symptomsandeects. • Appscanremindyoutotakeyourprescriptionontimeand,if necessary,makeanappointmentwithyourdoctor. • TargetedAdvertising • Ifyoubelievedthatthemostsignificantapplicationofdatascience wasinsearch,thinkagain.Almostanythingmaybedeterminedusing datasciencealgorithms,fromdisplaybannersonvariouswebsitesto digitalbillboardsatairports. • Becauseofthis,digitaladvertisementshaveamuchhigherCTR (Call-ThroughRate)thantraditionaladvertising.Theycanbe customizedbasedonauser'spriorbehaviors. • Thisexplainswhy,inthesamelocation,while youmightsee marketingfordatasciencetrainingprograms,someoneelsemight seeadvertisementsforclothing.

  5. WebsiteSuggestions • Thisenginehasbeenaggressivelyusedby severalbusinessesto markettheirgoodsdependingonuserinterestandrelevant information.InternetbusinesseslikeAmazon,Twitter,GooglePlay, Netflix,Linkedin,IMDb,andmanyothersemploythistechniqueto enhancecustomerexperience. • E-Commerce • Naturallanguageprocessing(NLP)andrecommendationsystemsare twoexamplesofmachinelearninganddatascienceconceptsthat havesignificantbenefitsforthee-commerceindustry. • E-commerceplatformsmayemploythesestrategiestoexamine customerfeedbackandtransactionsinordertogatherimportantdata forthegrowthoftheirbusinesses. • Theyanalyzetextsandonlinesurveysusingnaturallanguage processing(NLP).Itisusedincollaborativeandcontent-based filteringtoevaluatedataandprovidebetterservicestoitscustomers. • AdvancedTextandImageRecognition • Datasciencealgorithmscontrolspeechandimagerecognition.We mayobservethefantasticworkofthesealgorithmsinourdailylife. HaveyoueverhadaneedforavirtualspeechassistantlikeSiri,Alexa, orGoogleAssistant? • Ontheotherhand,itsspeechrecognitiontechnologyisatworkinthe background,makinganeorttounderstandandassessyourwords andprovidinghelpfulresultsfromyouruse. • Amongothersocialnetworkingsites,imagerecognitioncanbefound onFacebook,Instagram,andTwitter.Theseapplicationsoertotag

  6. peoplewhen you publishapictureofyourselfwiththemonyour profile. • Gaming • Moreandmoredevelopersareusingmachinelearningalgorithmsto makegamesthatevolveandimproveastheplayeradvancesthrough thestages.Inmotiongaming,youradversary(thecomputer)also analysesyourpriormovesandmodifiesthegameaccordingly.Data sciencehasbeenemployedby companieslikeEASports,Zynga,Sony, Nintendo,andActivision-Blizzardtoadvancegaming. • Security • Datasciencecanbeusedtostrengthensecurityatyourbusinessand safeguardimportantdata.Forinstance,banksdeploycomplex machine-learningalgorithmstoidentifyfraudbasedonauser's typicalfinancialbehavior. • Thesealgorithmscanidentifyfraudfasterandmoreaccuratelythan individualsbecauseoftheenormousvolumeofdatagenerated every day.Suchalgorithmscanbeusedtosecureprivateinformationevenif youdon'tworkforafinancialinstitution. • Understandingdataprivacymayassistyourbusinessin avoidingthe misuseofandsharingofsensitiveconsumerdataincludingcontact details,SocialSecuritynumbers,andcreditcardnumbers. • CustomerInsights • Informationonyourclients'activities,demographics,hobbies,aspirations, andotherdetailsmaybefoundintheirdata.Withsomanypotential consumerdatasources,havingarudimentaryunderstandingofdatascience mayhelpmakesenseofit. • Whenaconsumervisitsyourwebsiteorphysicalstore,addssomethingto theirshoppingcart,makesapurchase,readsanemail,orengageswitha socialmediapost,forinstance,youmightcollectinformationaboutthem

  7. everytime.Datawranglingistheprocessofintegratingthedataonceyou havedouble-checkedthatitisaccuratefromeachsource. Conclusion Thereareotherareaswheredatasciencecanbeappliedaswell.Inaddition totheseapplications,datascienceisemployedinmarketing,finance, humanresources,healthcare,publicpolicy,andanyothersectorthat producesdata. Datascienceisused by marketingteamstoidentifytheproductsthatwill sellthemost.Whenanalyticalthinkingandmachinelearningalgorithms arecombined,datacanoerinsights,supporteciencymeasures,and supportprojections.

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