Lecture 16: Learning: Support Vector Machines - Listen -

Lecture 16: Learning: Support Vector Machines

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In this lecture, we explore support vector machines in some mathematical detail. We use Lagrange multipliers to maximize the width of the street given certain constraints. If needed, we transform vectors into another space, using a kernel function.

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Lecture 12b: Deep Neural Nets

In this lecture, Prof. Winston discusses BLANK and modern breakthroughs in neural net research.

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Mega-Recitation 3: Games, Minimax, Alpha-Beta

This mega-recitation covers Problem 1 from Quiz 2, Fall 2007. We start with a minimax search of the game tree, and then work an example using alpha-beta pruning. We also discuss static evaluation and progressive deepening (Problem 1-C, Fall 2008 Quiz 2).

Published 11/25/13