2:07:14 Session 23: Dimensionality Reduction - Principal Component Analysis, Linear Discriminant Analysis Mainak's PMRF Tutorials 365 views - 1 year ago
2:30:03 Session 13: What's Machine Learning? Supervised Learning - Linear and Ridge Regression (many views) Mainak's PMRF Tutorials 718 views - 1 year ago
1:41:05 Session 21: Backpropagation, Dropout, Bias-variance tradeoff, Prevent overfitting or underfitting Mainak's PMRF Tutorials 371 views - 1 year ago
1:57:52 Session 12 Solving difference equations - Fibonacci sequence, Singular Value Decomposition Mainak's PMRF Tutorials 138 views - 1 year ago
1:57:08 Session 18 Synchronous Q-learning, Model-free, based, tabular, with Linear Fn. Approx., Convergence Mainak's PMRF Tutorials 53 views - 9 months ago
1:51:33 Session 7: MDPs, Action, Value, Reward functions, Bellman Equations 1, Examples Mainak's PMRF Tutorials 180 views - 10 months ago
2:28:08 Session 7: Statistical tests - confidence interval, z-test, t-test - 1 & 2 sample, chi-square test Mainak's PMRF Tutorials 189 views - 1 year ago
2:29:27 Session 1: Introduction to counting, RVs, and distributions Mainak's PMRF Tutorials 639 views - 2 years ago
1:54:17 Session 19: Asynchronous Q learning, Classification in ML, MLE, Logistic and Softmax Regression Mainak's PMRF Tutorials 265 views - 8 months ago
2:08:55 Session 8: Introduction to Linear Algebra, Gauss-Jordan Elimination, Vector Spaces and Subspaces Mainak's PMRF Tutorials 259 views - 1 year ago
1:51:52 Session 10: Stochastic Shortest Path, Bellman Operators, Proof of convergence of Policy Evaluation Mainak's PMRF Tutorials 127 views - 10 months ago
2:14:19 Session 18: Constrained Optimization Problems, Lagrangian Multipliers, Duality, SVM - Dual Form Mainak's PMRF Tutorials 269 views - 1 year ago
1:56:11 Session 1 Recap on Random Variables, Exemplar Discrete Distributions, Expectations Mainak's PMRF Tutorials 461 views - 11 months ago
2:11:48 Session 2: Random Variables - Discrete RVs, Expectation, Variances and their properties Mainak's PMRF Tutorials 429 views - 2 years ago
1:50:03 Session 20: Deep Neural Networks, MLP, Backpropagation, Policy Gradient, REINFORCE Mainak's PMRF Tutorials 91 views - 8 months ago
2:24:19 Session 19: Kernel SVM, KKT conditions, Primal solutions, Sequential minimal optimization, SVR Mainak's PMRF Tutorials 314 views - 1 year ago
1:59:31 Session 20: Perceptron, Perceptron Learning Algorithm, Convergence Proof, MLPs, Forward Propagation Mainak's PMRF Tutorials 250 views - 1 year ago
2:22:42 Session 14: Gradient Descent works! Its Applications, Bayesian Decision Making, Bayesian Risk Mainak's PMRF Tutorials 325 views - 1 year ago
2:33:45 Session 5: Joint Distributions, Conditional Expectation, Markov Ineq., Weak Law of Large Numbers Mainak's PMRF Tutorials 226 views - 1 year ago