| 1 |
Lecture 1 - Introduction to Machine Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 2 |
Supervised Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 3 |
Unsupervised Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 4 |
Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 5 |
Lecture 1 - Introduction to Machine Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 6 |
Supervised Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 7 |
Unsupervised Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 8 |
Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 9 |
Lecture 1 - Introduction to Machine Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 10 |
Supervised Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 11 |
Unsupervised Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 12 |
Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 13 |
Probability Basics (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 14 |
Probability Basics (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 15 |
Probability Basics (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 16 |
Probability Basics (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 17 |
Probability Basics (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 18 |
Probability Basics (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 19 |
Probability Basics (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 20 |
Probability Basics (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 21 |
Probability Basics (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 22 |
Probability Basics (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 23 |
Probability Basics (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 24 |
Probability Basics (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 25 |
Tutorial 2 - Linear Algebra (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 26 |
Tutorial 2 - Linear Algebra (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 27 |
Tutorial 2 - Linear Algebra (1) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 28 |
Tutorial 2 - Linear Algebra (2) |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 29 |
Lecture 5 - Statistical Decision Theory -
Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 30 |
Lecture 6 - Statistical Decision Theory -
Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 31 |
Lecture 5 - Statistical Decision Theory -
Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 32 |
Lecture 6 - Statistical Decision Theory -
Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 33 |
Lecture 5 - Statistical Decision Theory -
Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 34 |
Lecture 6 - Statistical Decision Theory -
Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 35 |
Lecture 7 - Bias - Variance |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 36 |
Lecture 8 - Linear Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 37 |
Lecture 9 - Multivariate Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 38 |
Lecture 7 - Bias - Variance |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 39 |
Lecture 8 - Linear Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 40 |
Lecture 9 - Multivariate Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 41 |
Lecture 7 - Bias - Variance |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 42 |
Lecture 8 - Linear Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 43 |
Lecture 9 - Multivariate Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 44 |
Lecture 9 - Multivariate Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 45 |
Lecture 10 Subset Selection 1 |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 46 |
Lecture 9 - Multivariate Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 47 |
Lecture 10 Subset Selection 1 |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 48 |
Lecture 9 - Multivariate Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 49 |
Lecture 10 Subset Selection 1 |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 50 |
Shrinkage Methods |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 51 |
Principal Components Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 52 |
Partial Least Squares |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 53 |
Shrinkage Methods |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 54 |
Principal Components Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 55 |
Partial Least Squares |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 56 |
Shrinkage Methods |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 57 |
Principal Components Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 58 |
Partial Least Squares |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 59 |
Lecture 15 Linear Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 60 |
Lecture 16 Logistic Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 61 |
Lecture 15 Linear Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 62 |
Lecture 16 Logistic Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 63 |
Lecture 15 Linear Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 64 |
Lecture 16 Logistic Regression |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 65 |
Linear discriminant analysis I introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 66 |
Linear discriminant analysis II |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 67 |
Linear discriminant analysis III |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 68 |
Linear discriminant analysis I introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 69 |
Linear discriminant analysis II |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 70 |
Linear discriminant analysis III |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 71 |
Linear discriminant analysis I introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 72 |
Linear discriminant analysis II |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 73 |
Linear discriminant analysis III |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 74 |
Introduction to optimization |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 75 |
Separating hyperplane approaches- Perceptron
learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 76 |
Introduction to optimization |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 77 |
Separating hyperplane approaches- Perceptron
learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 78 |
Introduction to optimization |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 79 |
Separating hyperplane approaches- Perceptron
learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 80 |
SVM- Formulation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 81 |
SVM- Interpretation & Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 82 |
SVM for Linearly non Separable Data |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 83 |
SVM- Formulation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 84 |
SVM- Interpretation & Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 85 |
SVM for Linearly non Separable Data |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 86 |
SVM- Formulation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 87 |
SVM- Interpretation & Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 88 |
SVM for Linearly non Separable Data |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 89 |
SVM Kernels |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 90 |
SVM- Hinge loss formulation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 91 |
Early models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 92 |
SVM Kernels |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 93 |
SVM- Hinge loss formulation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 94 |
Early models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 95 |
SVM Kernels |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 96 |
SVM- Hinge loss formulation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 97 |
Early models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 98 |
Backpropogation I |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 99 |
Backpropogation II |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 100 |
Backpropogation I |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 101 |
Backpropogation II |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 102 |
Backpropogation I |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 103 |
Backpropogation II |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 104 |
Initialization, Training & Validation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 105 |
Maximum likelihood estimate |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 106 |
Priors & MAP estimate |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 107 |
Initialization, Training & Validation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 108 |
Maximum likelihood estimate |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 109 |
Priors & MAP estimate |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 110 |
Initialization, Training & Validation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 111 |
Maximum likelihood estimate |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 112 |
Priors & MAP estimate |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 113 |
Bayesion parameter estimation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 114 |
Introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 115 |
Loss functions for classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 116 |
Categorical Attributes |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 117 |
Multiway Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 118 |
Loss functions for classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 119 |
Categorical Attributes |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 120 |
Multiway Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 121 |
Missing values, imputation & Surrogate Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 122 |
Instability, Smmothness & Repeted Subtrees |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 123 |
Tutorial |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 124 |
Missing values, imputation & Surrogate Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 125 |
Instability, Smmothness & Repeted Subtrees |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 126 |
Tutorial |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 127 |
Missing values, imputation & Surrogate Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 128 |
Instability, Smmothness & Repeted Subtrees |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 129 |
Tutorial |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 130 |
Evaluation Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 131 |
Bootstrapping & cross validation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 132 |
Evaluation Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 133 |
Bootstrapping & cross validation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 134 |
Evaluation Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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| 135 |
Bootstrapping & cross validation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 136 |
Class Evalution Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 137 |
The ROC Curve |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 138 |
Minimum Descripition Length & Exploratory Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 139 |
Class Evalution Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 140 |
The ROC Curve |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 141 |
Minimum Descripition Length & Exploratory Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 142 |
Class Evalution Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 143 |
The ROC Curve |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 144 |
Minimum Descripition Length & Exploratory Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 145 |
Introduction to Hypothesis Testing |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 146 |
Basic Concept |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 147 |
Introduction to Hypothesis Testing |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 148 |
Basic Concept |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 149 |
Introduction to Hypothesis Testing |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 150 |
Basic Concept |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 151 |
Sampling Distributions & Z Test |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 152 |
Students t-tet |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 153 |
Sampling Distributions & Z Test |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 154 |
Students t-tet |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 155 |
Sampling Distributions & Z Test |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 156 |
Students t-tet |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 157 |
The Two Sample & Paired Sample t tests |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 158 |
Confidence Intervals |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 159 |
Bagging, Committee Machines& Stacking |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 160 |
The Two Sample & Paired Sample t tests |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 161 |
Confidence Intervals |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Monday |
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| 162 |
Bagging, Committee Machines& Stacking |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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| 163 |
The Two Sample & Paired Sample t tests |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 164 |
Confidence Intervals |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 165 |
Bagging, Committee Machines& Stacking |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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| 166 |
Boosting |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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| 167 |
Boosting |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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| 168 |
Boosting |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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| 169 |
Gradient Boosting |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 170 |
Gradient Boosting |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Monday |
-
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| 171 |
Gradient Boosting |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
-
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| 172 |
Random Forest |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
-
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| 173 |
Random Forest |
Prof. Balaraman Ravindran , IIT MADRAS |
-
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Thursday |
-
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| 174 |
Random Forest |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
-
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| 175 |
Bayesian Netwarks |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 176 |
Bayesian Netwarks |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
-
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| 177 |
Bayesian Netwarks |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
-
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| 178 |
Undirected Graphical Models - Introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Wednesday |
-
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| 179 |
Undirected Graphical Models- Potential Functions |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
-
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| 180 |
Undirected Graphical Models - Introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
-
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| 181 |
Undirected Graphical Models- Potential Functions |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
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| 182 |
Undirected Graphical Models - Introduction |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Friday |
-
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| 183 |
Undirected Graphical Models- Potential Functions |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Friday |
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| 184 |
Hidden Markov Models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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| 185 |
Variable Elimination |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Saturday |
-
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| 186 |
Hidden Markov Models |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
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| 187 |
Variable Elimination |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 188 |
Hidden Markov Models |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 189 |
Variable Elimination |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 190 |
Belief Propagation |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 191 |
Partitional Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 192 |
Belief Propagation |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 193 |
Partitional Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 194 |
Belief Propagation |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 195 |
Partitional Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 196 |
Hierarchical Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 197 |
Thershold Graphs |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 198 |
Hierarchical Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 199 |
Thershold Graphs |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 200 |
Hierarchical Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 201 |
Thershold Graphs |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 202 |
The BIRCH Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 203 |
The CURE Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 204 |
The BIRCH Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 205 |
The CURE Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 206 |
The BIRCH Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 207 |
The CURE Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 208 |
Density Based Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 209 |
Gaussian Mixture Models |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 210 |
Density Based Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 211 |
Gaussian Mixture Models |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 212 |
Density Based Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 213 |
Gaussian Mixture Models |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 214 |
Expectation Maximization |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 215 |
Expectation Maximization Continued |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 216 |
Expectation Maximization |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 217 |
Expectation Maximization Continued |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 218 |
Expectation Maximization |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 219 |
Expectation Maximization Continued |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 220 |
Spectral Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 221 |
Spectral Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 222 |
Spectral Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 223 |
Learning Theory |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 224 |
Learning Theory |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 225 |
Learning Theory |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 226 |
Frequent Itemset Mining |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 227 |
The Apriori Property |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 228 |
Frequent Itemset Mining |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 229 |
The Apriori Property |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 230 |
Frequent Itemset Mining |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 231 |
The Apriori Property |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 232 |
Introduction to Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 233 |
RL Framework and TD Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
| 234 |
Introduction to Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 235 |
RL Framework and TD Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
| 236 |
Introduction to Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 237 |
RL Framework and TD Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
| 238 |
Solution Methods & Applications |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 239 |
Multi-class Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
| 240 |
Solution Methods & Applications |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 241 |
Multi-class Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Monday |
-
|
| 242 |
Solution Methods & Applications |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
| 243 |
Multi-class Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|