Exploring Cs160 Spring 2015 Lecture 6
Exploring Cs160 Spring 2015 Lecture 6 reveals several interesting facts.
- Lecture
- Topics: graphical models, d-separation, Bayes' ball algorithm, inference Lecturer: Abu Saparov ...
- Topics: deep learning, restricted Boltzmann machines, privacy in machine learning, differential privacy Lecturers: Maria-Florina ...
- Lecture
- Topics: review of naive Bayes, naive Bayes with Bernoulli, Gaussian, and multinomial (categorical) distributions Lecturer: Micol ...
In-Depth Information on Cs160 Spring 2015 Lecture 6
Lecture 6 for CS160 - Lecture 6 - Input Devices CS160 Topics: Logistic regression and its relation to naive Bayes, gradient descent Lecturer: Tom Mitchell ...
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