Lecture 4a - The 3 Fundamental Theories of Machine Learning

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Lecture 15 - K Nearest Neighbors ClassifierПодробнее

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Lecture 12 - Bias Variance Trade offПодробнее

Lecture 11 What is Probability DensityПодробнее

Lecture 10a - Prior and Posterior ProbabilityПодробнее

Lecture 10 - Application of Bayes' TheoremПодробнее

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Lecture 7 - Undefitting and OverfittingПодробнее

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Lecture 3 - Classes of Machine Learning ProblemsПодробнее

Lecture 2 - Overview of Machine Learning and Some Basic TermsПодробнее