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Channel: 13

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