Exploring 10 701 Machine Learning Fall 2014 Lecture 1

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  • ... on on each of the uh
  • Linear algebra review.
  • https://sailinglab.github.io/pgm-spring-2019/
  • Topics: classification, naive Bayes, introduction to maximum likelihood estimation (MLE), and maximum a posteriori estimation ...
  • Introduction to

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Topics: course logistics, high-level overview of Topics: review of probability theory, multivariate normal distribution Topics: overview of topics that may tested on exam, open Q&A Introduction to

Topics: perceptron, linear programming, "perceptron algorithm"

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