Introduction to Machine Learning - MIT OpenCourseWare
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This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. BrowseCourseMaterial OnlinePublication CourseInfo Instructors: Prof.LeslieKaelbling Prof.TomásLozano-Pérez Prof.IsaacChuang Prof.DuaneBoning CourseNumber: 6.036 Departments: ElectricalEngineeringandComputerScience AsTaughtIn: Fall2020 Level: Undergraduate Topics Engineering ComputerScience AlgorithmsandDataStructures ArtificialIntelligence menu search GiveNow AboutOCW Help&Faqs ContactUs search Givenow AboutOCW help&faqs contactus IntroductiontoMachineLearning OnlinePublication Inthiscourse,studentslearnaboutmachinelearning.(ImagecourtesyofyumikrumonFlickr.UsedunderCCBY.) arrow_back browsecoursematerial library_books CourseDescription Thiscourseintroducesprinciples,algorithms,andapplicationsofmachinelearningfromthepointofviewofmodelingandprediction.Itincludesformulationoflearningproblemsandconceptsofrepresentation,over-fitting,andgeneralization.Theseconceptsareexercisedinsupervisedlearningandreinforcementlearning,withapplicationstoimagesandtotemporalsequences. ThiscourseispartoftheOpenLearningLibrary,whichisfreetouse. Youhavetheoptiontosignupandenrollinthecourseifyouwanttotrackyourprogress,oryoucanviewanduseallthematerialswithoutenrolling. CourseInfo Instructors: Prof.LeslieKaelbling Prof.TomásLozano-Pérez Prof.IsaacChuang Prof.DuaneBoning CourseNumber: 6.036 Departments: ElectricalEngineeringandComputerScience Topics: Engineering > ComputerScience > AlgorithmsandDataStructures Engineering > ComputerScience > ArtificialIntelligence AsTaughtIn: Fall2020 Level: Undergraduate
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