Here are parts 1, 2 & 3: Introduction, Regression/Classification, Cost Functions, and Gradient Descent: https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/ ht

Here are parts 1, 2 & 3: Introduction, Regression/Classification, Cost Functions, and Gradient Descent: https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/ https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/ Perceptrons, Logistic Regression, and SVMs: https://ml.berkeley.edu/blog/2016/12/24/tutorial-2/ https://ml.berkeley.edu/blog/2016/12/24/tutorial-2/ Neural networks & Backpropagation: https://ml.berkeley.edu/blog/2017/02/04/tutorial-3/ https://ml.berkeley.edu/blog/2017/02/04/tutorial-3/