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Machine Learning - Lecture 2

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Lecture 2 - Linear Regression, Gradient Descent, Normal Equations

An Application of Supervised Learning - Autonomous Deriving, ALVINN, Linear Regression, Gradient Descent, Batch Gradient Descent, Stochastic Gradient Descent (Incremental Descent), Matrix Derivative Notation for Deriving Normal Equations, Derivation of Normal Equations

Prof. Andrew Ng
CS229 Machine Learning
(Stanford University: Stanford Engineering Everywhere)
http://see.stanford.edu
Date accessed: 2009-05-07
License: Creative Commons Attribution 3.0

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