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Part 1 The basics of machine learning - regression, cost functions, and gradient descent

2017

Part 1 The basics of machine learning - regression, cost functions, and gradient descent
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Part 2 Perceptrons, logistic regression, and SVMs

2017

Part 2 Perceptrons, logistic regression, and SVMs
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Part 4 - The Bias-Variance Dilemma The Bias Variance Dilemma

2017

Part 4 - The Bias-Variance Dilemma The Bias Variance Dilemma
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Part 3 Neural networks | Machine Learning Crash Course, University of California, Berkeley

2017

Part 3 Neural networks | Machine Learning Crash Course, University of California, Berkeley
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