Downloading Stanford CS229_ Machine Learning - Linear Regression and Gradient Descent _ Lecture 2 (Autumn 2018)(480P).mp4 (173.01 MB) If the download doesn't start, Clik here Recomended Files RL Debugging and Diagnostics _ Stanford CS229_ Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)(720P_HD).mp4 Lecture 19 - Reward Model _ Linear Dynamical System _ Stanford CS229_ Machine Learning (Autumn 2018)(720P_HD).mp4 Lecture 18 - Continous State MDP _ Model Simulation _ Stanford CS229_ Machine Learning (Autumn 2018)(720P_HD).mp4 Lecture 17 - MDPs _ Value_Policy Iteration _ Stanford CS229_ Machine Learning Andrew Ng (Autumn2018)(480P).mp4 Lecture 16 - Independent Component Analysis _ RL _ Stanford CS229_ Machine Learning (Autumn 2018)(720P_HD).mp4 Lecture 15 - EM Algorithm _ Factor Analysis _ Stanford CS229_ Machine Learning Andrew Ng -Autumn2018(720P_HD).mp4 Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229_ Machine Learning (Autumn 2018)(480P).mp4 Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229_ Machine Learning (Autumn 2018)(480P).mp4 Lecture 12 - Backprop _ Improving Neural Networks _ Stanford CS229_ Machine Learning (Autumn 2018)(720P_HD).mp4 Lecture 11 - Introduction to Neural Networks _ Stanford CS229_ Machine Learning (Autumn 2018)(480P).mp4