GiventhegrowingpopularityoftheR-zerocoststatisticalprogrammingenvironment,therehasneverbeenabettertimetostartapplyingMLtoyourdata.ThisbookwillteachyouadvancedtechniquesinML,using?thelatestcodeinR3.5.Youwilldelveintovariouscomplexfeaturesofsupervisedlearning,unsupervisedlearning,andreinforcementlearningalgorithmstodesignefficientandpowerfulMLmodels.Thisnewlyupdatededitionispackedwithfreshexamplescoveringarangeoftasksfromdifferentdomains.MasteringMachineLearningwithRstartsbyshowingyouhowtoquicklymanipulatedataandprepareitforanalysis.Youwillexploresimpleandcomplexmodelsandunderstandhowtocomparethem.You’llalsolearntousethelatestlibrarysupport,suchasTensorFlowandKeras-R,forperformingadvancedcomputations.Additionally,you’llexplorecomplextopics,suchasnaturallanguageprocessing(NLP),timeseriesanalysis,andclustering,whichwillfurtherrefineyourskillsindevelopingapplications.EachchapterwillhelpyouimplementadvancedMLalgorithmsusingreal-worldexamples.You’llevenbeintroducedtoreinforcementlearning,alongwithitsvarioususecasesandmodels.Intheconcludingchapters,you’llgetaglimpseintohowsomeoftheseblackboxmodelscanbediagnosedandunderstood.Bytheendofthisbook,you’llbeequippedwiththeskillstodeployMLtechniquesinyourownprojectsoratwork.