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Itsgoalistogiveyoutheconcepts,theintuitions,andthetoolsyouneedtoactuallyimple‐mentprogramscapableoflearningfromYousignedinwithanothertab orwindow.DierentactionsbringdierentCourses:ReinforcementLearning ProgrammingLanguages MachineLearningUndergraduateFundamentalsof MachineLearningMachineLearning,avitalandcoreareaofartificialintelligence(AI),ispropellingtheAIfieldeverfurtherandmakingitoneofthemost compellingareasofcomputerscienceresearchAsdevelopers,wethinkinrepeatableproceduresThistextbookoffersacomprehensiveandunbiased introductiontoalmostallaspectsofmachinelearning,fromthefundamentalstoReinforcementLearningReloadtorefreshyoursessionThemachinecan executeactionsineverystateYouswitchedaccountsonanothertaborwindowAboutthisbookTheinitialversionofthistextbookwascreatedbyWilliamJ Deuschleforhisseniorthesis,basedonhisnotesofCSduringtheSpringofThistextbookhassincebeenmaintainedbytheCScoursestaffwithbugfixesfrom manyCSstudents.Greatidea!ThebestwaytodescribeamachinelearningalgorithmforusisIntermsoftherepresentationusedbythealgorithm(theactual numbersstoredinafile)Whateverthereason,youhaveidedtolearnMachineLearningandimplementitinyourprojects.Yousignedoutinanothertabor windowContentsWritingthisbook,Isetouttodescribemachinelearningalgorithmsfordevelopers(likemyself)ObjectiveandApproachThisbookassumes thatyouknowclosetonothingaboutMachineLearningReloadtorefreshyoursessionReinforcementlearningisasubfieldofmachinelearningwherethemachine “lives”inanenvironmentandiscapableofperceivingthestateofthatenvironmentasavectoroffeatures