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
Introduction to Machine Learning (PhD level) http://alex.smola.org/teaching/cmu2013- Introduction to Machine Learning (PhD level) http://alex.smola.org/teaching/cmu2013- Graphical models: junction trees, belief propagation. Note that the first
Sums of independent random variables, refresher on properties of variance, standardizing random variables, and a statement of ...
Summary & Highlights for 10 701 Fall 2013 Lecture 04
- CMU: 2017
- Boosting; HMMs and DBNs; overview of MCMC.
- decision trees, bagging, discriminative v. generative.
- CMU: 2011 Spring:
- Topics: course logistics, high-level overview of machine learning, classification
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