Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 - Matrix Calculus and Probability Theory Stanford CS229: Machine Learning | Summer 2019 | Lecture 3 - Probability and Statistics Stanford CS229: Machine Learning | Summer 2019 | Lecture 4 - Linear Regression Stanford CS229: Machine Learning | Summer 2019 | Lecture 5 - Perceptron and Logistic Regression Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace Smoothing Stanford CS229: Machine Learning | Summer 2019 | Lecture 8 - Kernel Methods & Support Vector Machine Stanford CS229: Machine Learning | Summer 2019 | Lecture 9 - Bayesian Methods - Parametric & Non Stanford CS229: Machine Learning | Summer 2019 | Lecture 10 - Deep learning - I Stanford CS229: Machine Learning | Summer 2019 | Lecture 11 - Deep Learning - II Stanford CS229: Machine Learning | Summer 2019 | Lecture 12 - Bias and Variance & Regularization Stanford CS229: Machine Learning | Summer 2019 | Lecture 13-Statistical Learning Uniform Convergence Stanford CS229: Machine Learning | Summer 2019 | Lecture 14 - Reinforcement Learning - I Stanford CS229: Machine Learning | Summer 2019 | Lecture 15 - Reinforcement Learning - II Stanford CS229: Machine Learning | Summer 2019 | Lecture 16 - K-means, GMM, and EM Stanford CS229: Machine Learning | Summer 2019 | Lecture 17 - Factor Analysis & ELBO Stanford CS229: Machine Learning | Summer 2019 | Lecture 18 - Principal & Independent CA Stanford CS229: Machine Learning | Summer 2019 | Lecture 19 - Maximum Entropy and Calibration Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder Stanford CS229: Machine Learning | Summer 2019 | Lecture 21 - Evaluation Metrics Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap Stanford CS229: Machine Learning | Summer 2019 | Lecture 23 - Course Recap and Wrap Up