Monday, 2 January 2017

Machine Learning Crash Courseby By Daniel Geng and Shannon Shih via ML@B @BerkeleyMl

A visual and easy to follow 2 part course in Machine Learning from Berkley.

Part 1 - Introduction, Regression/Classification, Cost Functions, and Gradient Descent

Part 2 - Perceptrons, Logistic Regression, and SVMs

These are brilliant and very useful if you want to understand the basics without spending large amounts of time.

I would advise following them too by clicking on the 3 horizontal bars at the LH top of the screen.

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