Introduction to 10 701 Fall 2013 Lecture 04
Exploring 10 701 Fall 2013 Lecture 04 reveals several interesting facts. Probability; Naive Bayes.
10 701 Fall 2013 Lecture 04 Comprehensive Overview
10-701 Fall 2013: Recitation 4 (Optimization) decision trees, bagging, discriminative v. generative. Boosting; HMMs and DBNs; overview of MCMC.
MIT graduate course taught by Prof Thomas W Eagar ScD PE. Discusses selection design and processing for structural materials, ...
Summary & Highlights for 10 701 Fall 2013 Lecture 04
- CMU
- Topics: probabilistic modeling, graphical models, Gaussian mixture models, expectation maximization (EM)
- Lecture 04
- Topics: review of probability theory, multivariate normal distribution
- Introduction to Machine Learning
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