Teachesthemachinelearningprocessforbusinessstudentsandprofessionalsusingautomatedmachinelearning,anewdevelopmentindatasciencethatrequiresonlyafewweekstolearninsteadofyearsoftrainingThoughtheconceptofcomputerslearningtosolveaproblemmaystillconjurethoughtsoffuturisticartificialintelligence,therealityisthatmachinelearningalgorithmsnowexistwithinmostmajorsoftware,includingWebsitesandevenwordprocessors.ThesealgorithmsaretransformingsocietyinthemostradicalwaysincetheIndustrialRevolution,primarilythroughautomatingtaskssuchasdecidingwhichuserstoadvertiseto,whichmachinesarelikelytobreakdown,andwhichstocktobuyandsell.Whilethisworknolongeralwaysrequiresadvancedtechnicalexpertise,itiscrucialthatpractitionersandstudentsalikeunderstandtheworldofmachinelearning.Inthisbook,KaiR.LarsenandDanielS.Beckerteachthemachinelearningprocessusinganewdevelopmentindatascience:automatedmachinelearning(AutoML).AutoML,whenimplementedproperly,makesmachinelearningaccessiblebyremovingtheneedforyearsofexperienceinthemostarcaneaspectsofdatascience,suchasmath,statistics,andcomputerscience.LarsenandBeckerdemonstratehowanyonetrainedintheuseofAutoMLcanuseittotesttheirideasandsupportthequalityofthoseideasduringpresentationstomanagementandstakeholdergroups.Becausetherequisiteinvestmentisafewweeksratherthanafewyearsoftraining,thesetoolswilllikelybecomeacorecomponentofundergraduateandgraduateprogramsalike.Withfirst-handexamplesfromtheindustry-leadingDataRobotplatform,AutomatedMachineLearningforBusinessprovidesaclearoverviewoftheprocessandengageswithessentialtoolsforthefutureofdatascience.
BUSINESS MACHINE STATISTICS LEARNING
