Exploring 10 601 Machine Learning Fall 2017 Lecture 05
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- Neural Networks 2: Backpropagation
- Framework
- Information Theory: Mutual Information and Covariate Selection
- Topics: application of naive Bayes to document classification, Gaussian naive Bayes and application to brain imaging
- Linear Classifiers.
In-Depth Information on 10 601 Machine Learning Fall 2017 Lecture 05
Inductive Bias Information Theory: Cross Entropy and Self Entropy Concept Course Introduction; History of AI
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