Exploring Machine Learning Fall 2015 Lecture 10
Exploring Machine Learning Fall 2015 Lecture 10 reveals several interesting facts.
- Topics: sample complexity, Rademacher complexity, regularization, overfitting Lecturers: Maria-Florina Balcan, Tom Mitchell ...
- CS252
- Topics: decision trees, overfitting, probability theory Lecturers: Tom Mitchell and Maria-Florina Balcan ...
- Lecture 10
- Topics: inference in graphical models, expectation maximization (EM) Lecturer: Tom Mitchell ...
In-Depth Information on Machine Learning Fall 2015 Lecture 10
Course: Introduction to Introduction to Decision Trees, Regularization, Overfitting Lecturer: Roni Rosenfeld http://www.cs.cmu.edu/~roni/10601-f17/
Topics: inference in graphical models, d-separation, conditional independence Lecturer: Tom Mitchell ...
Stay tuned for more updates related to Machine Learning Fall 2015 Lecture 10.
