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
In-Depth Information on 10 701 Machine Learning Fall 2014 Lecture 1
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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