Machine Learning 09: Learning Representations and Unify Machine Learning
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Principle Components Analysis (PCA)
Idea:
Given data p......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Principle Components Analysis (PCA)
Idea:
Given data p......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Reinforcement Learning: AlphaGo
This is a Guest lecture b......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Regression
Wish to learn f: X—>Y, where Y is real, giv......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Computational Learning Theory
What general laws constrain......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Graphical Models
Key Ideas:
Conditional Independence as......
Course Notes of Professor Tom Mitchell Machine Learning Course @ CMU, 2017
Why not Logistic Regression?
We like logistic regression,......
Course Notes of Professor Tom Mitchell Machine Learning @ CMU
Naïve Bayes with Continuous X
In order to train a Naive Bayes classifi......