NPTEL-COURSES

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Welcome to NPTEL-COURSES, your one-stop destination for comprehensive video lessons and study guides on different courses offered by NPTEL. On this channel, ...

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Week 12 Lecture 4 Solution Methods and Applications (Optional)

Week 12 Lecture 3 RL Framework and TD Learning (Optional)

Week 12 Lecture 2 Introduction to Reinforcement Learning

Week 12 Lecture 1 Learning Theory

Week 11 Lecture 3 Expectation Maximization - Continued

Week 11 Lecture 2 Expectation Maximization

Week 11 Lecture 1 Gaussian Mixture Models

Week 10 Lecture 5 Density Based Clustering

Week 10 Lecture 4 The CURE Algorithm

Week 10 Lecture 3 The BIRCH Algorithm

Week 10 Lecture 2 Hierarchical Clustering

Week 10 Lecture 1 Partitional Clustering

Week 9 Lecture 5 Tree Width and Belief Propagation

Week 9 Lecture 4 Variable Elimination

Week 9 Lecture 3 Hidden Markov Models

Week 9 Lecture 2 Undirected Graphical Models - Potential Functions

Week 9 Lecture 1 Undirected Graphical Models - Introduction and Factorization

Week 8 Lecture 5 Multiclass Classification

Week 8 Lecture 4 Bayesian Networks

Week 8 Lecture 3 Naive Bayes

Week 8 Lecture 2 Random Forests I

Week 8 Lecture 1 Gradient Boosting

Week 7 Lecture 7 Ensemble Methods - Boosting

Week 7 Lecture 6 Ensemble Methods - Bagging, Committee Machines and Stacking

Week 7 Lecture 5 Minimum Description Length and Exploratory Analysis

Week 7 Lecture 4 The ROC Curve

Week 7 Lecture 3 2 Class Evaluation Measures

Week 7 Lecture 2 Evaluation and Evaluation Measures II - Bootstrapping and Cross Validation

Week 7 Lecture 1 Evaluation and Evaluation Measures I

Week 6 Lecture 9 Decision Trees - Example