Machine Learning- Balaraman Ravindran

Week 5 Lecture 27 ANN II - Backprogpogation I

Machine Learning- Balaraman Ravindran

Week 3 Lecture 10 Subset Selection 1

Machine Learning- Balaraman Ravindran

Week 3 Lecture 19 Linear Discriminant Analysis 3

Machine Learning- Balaraman Ravindran

Week 6 Lecture 42 Evaluation Measures 1

Machine Learning- Balaraman Ravindran

Week 1 Lecture 2 - Supervised Learning

Machine Learning- Balaraman Ravindran

Week 6 Lecture 35 Stopping Criteria & Pruning

Machine Learning- Balaraman Ravindran

Week 6 Lecture 33 Decision Trees - Introduction

Machine Learning- Balaraman Ravindran

MAXIMUM LIKELIHOOD ESTIMATE

Machine Learning- Balaraman Ravindran

Week 5 Lecture 31 Parameter Estimation II - Priors & MAP

Machine Learning- Balaraman Ravindran

Week 2 Lecture 5 - Statistical Decision Theory - Regression

Machine Learning- Balaraman Ravindran

Week 5 Lecture 26 ANN I - Early Models

Machine Learning- Balaraman Ravindran

Week 2 Lecture 9 - Multivariate Regression

Machine Learning- Balaraman Ravindran

Week 4 Lecture 21 SVM - Formulation

Machine Learning- Balaraman Ravindran

Week 6 Lecture 38 Decision Trees - Multiway Splits

Machine Learning- Balaraman Ravindran

Week 3 Lecture 16 Logistic Regression

Machine Learning- Balaraman Ravindran

Week 3 Lecture 11 Subset Selection 2

Machine Learning- Balaraman Ravindran

Week 3 Lecture 15 Linear Classification

Machine Learning- Balaraman Ravindran

Week 5 Lecture 29 ANN IV - Initialization, Training & Validation

Machine Learning- Balaraman Ravindran

Week 4 Lecture 20 Perceptron Learning

Machine Learning- Balaraman Ravindran

Week 2 Lecture 8 - Linear Regression

Machine Learning- Balaraman Ravindran

Week 2 Lecture 7 - Bias - Variance

Machine Learning- Balaraman Ravindran

Week 3 Lecture 17 Linear Discriminant Analysis 1

Machine Learning- Balaraman Ravindran

Week 2 Lecture 6 - Statistical Decision Theory - Classification

Machine Learning- Balaraman Ravindran

Week 3 Lecture 12 Shrinkage Methods

Machine Learning- Balaraman Ravindran

Week 6 Lecture 36 Decision Trees for Classification - Loss Functions

Machine Learning- Balaraman Ravindran

Week 1 Lecture 3 - Unsupervised Learning

Machine Learning- Balaraman Ravindran

Week 3 Lecture 13 Principal Components Regression

Machine Learning- Balaraman Ravindran

Week 6 Lecture 34 Regression Trees

Machine Learning- Balaraman Ravindran

Week 4 Lecture 22 SVM - Interpretation & Analysis

Machine Learning- Balaraman Ravindran

Week 1 Lecture 4 - Reinforcement Learning

Machine Learning- Balaraman Ravindran