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Introduction to Machine Learning Lecture 1

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Introduction to Machine LearningLecture 1Mehryar MohriCourant Institute and Google Mohri - Introduction to Machine LearningLogisticsPrerequisites: basics concepts needed in probability and statistics will be : 5 homework assignments. mid-term exam, final : recommended, not mandatory. no single textbook covering material presented. Lecture slides available list: join as soon as Mohri - Introduction to Machine LearningMachine LearningDefinition: computational methods using experience to improve performance, , to make accurate : data-driven task, thus statistics, : use height and weight to predict science: need to design efficient and accurate algorithms, analysis of complexity, theoretical Mohri - Introduction to Machine LearningExamples of Learning TasksOptical character or document classification, spam analysis, part-of-speech tagging, statistical recognition, speech synthesis, speaker recognition, face Mohri - Introduction to Machine LearningExamples of Learning TasksFraud detection (credit card, telephone), network (chess, backgammon).

Mehryar Mohri - Introduction to Machine Learning page Logistics Prerequisites: basics concepts needed in probability and statistics will be introduced.

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