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 |
|
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 |
|
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 |
|
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 |
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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 |
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Monday |
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187 |
Variable Elimination |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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188 |
Hidden Markov Models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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189 |
Variable Elimination |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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190 |
Belief Propagation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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191 |
Partitional Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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192 |
Belief Propagation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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193 |
Partitional Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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194 |
Belief Propagation |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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195 |
Partitional Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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196 |
Hierarchical Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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197 |
Thershold Graphs |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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198 |
Hierarchical Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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199 |
Thershold Graphs |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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200 |
Hierarchical Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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201 |
Thershold Graphs |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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202 |
The BIRCH Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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203 |
The CURE Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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204 |
The BIRCH Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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205 |
The CURE Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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206 |
The BIRCH Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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207 |
The CURE Algorithm |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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208 |
Density Based Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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209 |
Gaussian Mixture Models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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210 |
Density Based Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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211 |
Gaussian Mixture Models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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212 |
Density Based Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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213 |
Gaussian Mixture Models |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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214 |
Expectation Maximization |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Wednesday |
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215 |
Expectation Maximization Continued |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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216 |
Expectation Maximization |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
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217 |
Expectation Maximization Continued |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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218 |
Expectation Maximization |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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219 |
Expectation Maximization Continued |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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220 |
Spectral Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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221 |
Spectral Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Monday |
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222 |
Spectral Clustering |
Prof. Balaraman Ravindran , IIT MADRAS |
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Tuesday |
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223 |
Learning Theory |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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224 |
Learning Theory |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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225 |
Learning Theory |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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226 |
Frequent Itemset Mining |
Prof. Balaraman Ravindran , IIT MADRAS |
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Saturday |
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227 |
The Apriori Property |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Saturday |
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228 |
Frequent Itemset Mining |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Monday |
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229 |
The Apriori Property |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Monday |
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230 |
Frequent Itemset Mining |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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231 |
The Apriori Property |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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232 |
Introduction to Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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233 |
RL Framework and TD Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Wednesday |
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234 |
Introduction to Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Thursday |
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235 |
RL Framework and TD Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
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236 |
Introduction to Reinforcement Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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Friday |
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237 |
RL Framework and TD Learning |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Friday |
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238 |
Solution Methods & Applications |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Saturday |
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239 |
Multi-class Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Saturday |
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240 |
Solution Methods & Applications |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Monday |
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241 |
Multi-class Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Monday |
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242 |
Solution Methods & Applications |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
-
|
243 |
Multi-class Classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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|
244 |
Loss functions for classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Sunday |
-
|
245 |
Categorical Attributes |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Sunday |
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|
246 |
Multiway Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Sunday |
-
|
247 |
Loss functions for classification |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
-
|
248 |
Categorical Attributes |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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|
249 |
Multiway Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
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|
250 |
Loss functions for classification |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
251 |
Categorical Attributes |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Wednesday |
-
|
252 |
Multiway Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Wednesday |
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|
253 |
Missing values, imputation & Surrogate Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
-
|
254 |
Instability, Smmothness & Repeted Subtrees |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
255 |
Tutorial |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
-
|
256 |
Missing values, imputation & Surrogate Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
257 |
Instability, Smmothness & Repeted Subtrees |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
258 |
Tutorial |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Friday |
-
|
259 |
Missing values, imputation & Surrogate Splits |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
260 |
Instability, Smmothness & Repeted Subtrees |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
261 |
Tutorial |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Saturday |
-
|
262 |
Evaluation Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Sunday |
-
|
263 |
Bootstrapping & cross validation |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Sunday |
-
|
264 |
Evaluation Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Tuesday |
-
|
265 |
Bootstrapping & cross validation |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Tuesday |
-
|
266 |
Evaluation Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
267 |
Bootstrapping & cross validation |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Wednesday |
-
|
268 |
Class Evalution Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
-
|
269 |
The ROC Curve |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Thursday |
-
|
270 |
Minimum Descripition Length & Exploratory Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Thursday |
-
|
271 |
Class Evalution Measures |
Prof. Balaraman Ravindran , IIT MADRAS |
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|
Friday |
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|
272 |
The ROC Curve |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
|
273 |
Minimum Descripition Length & Exploratory Analysis |
Prof. Balaraman Ravindran , IIT MADRAS |
-
|
Friday |
-
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