Machinelearningisanessentialpartoftoday'sdata-drivenworldandisextensivelyusedacrossindustries,includingfinancialforecasting,robotics,andwebtechnology.ThisbookwillteachyouhowtoefficientlydevelopmachinelearningapplicationsinGo.Thebookstartswithanintroductiontomachinelearninganditsdevelopmentprocess,explainingthetypesofproblemsthatitaimstosolveandthesolutionsitoffers.ItthencoverssettingupafrictionlessGodevelopmentenvironment,includingrunningGointeractivelywithJupyternotebooks.Finally,commondataprocessingtechniquesareintroduced.Thebookthenteachesthereaderaboutsupervisedandunsupervisedlearningtechniquesthroughworkedexamplesthatincludetheimplementationofevaluationmetrics.Theseworkedexamplesmakeuseoftheprominentopen-sourcelibrariesGoMLandGonum.Thebookalsoteachesreadershowtoloadapre-trainedmodelanduseittomakepredictions.Itthenmovesontotheoperationalsideofrunningmachinelearningapplications:deployment,ContinuousIntegration,andhelpfuladviceforeffectiveloggingandmonitoring.Attheendofthebook,readerswilllearnhowtosetupamachinelearningprojectforsuccess,formulatingrealisticsuccesscriteriaandaccuratelytranslatingbusinessrequirementsintotechnicalones.