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Machine learning lecture 13 (fall 2016). Lecture 10, chapter 13 (continued). Lecture 1 18 caltech's m.
Augmented error weight decay. Lecture 9 of 18 caltech's machine learning. The linear model ii more about models.
Supervised, unsupervised, and reinforcement learning. Taught by feynman prize winner professor yaser abumostafa. Lecture 13 18 caltech's machine learning course c.
Logistic regression, maximum likelihood, and gradient descent. The learning problem introduction. Lecture #13 computational learning theory (part 1).