Machine Learning - Andrew Ng
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This is another very well taught, introductory, course in machine learning by Prof. Andrew Ang, Stanford University, in Coursera. The theoretical depth is at a beginner level and the course complements most of the theory with hands-on Matlab exercises. The Matlab exercises are of the “fill-in-the-blank” type with complete template codes provided.
Syllabus
Linear/logistic regression, gradient descent, neural network, support vector machine, k-NN, principal component analysis, autoencoders.
Repository
The repository consists of the following:
- Projects - Instructions and Matlab Codes
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