| 1 |
7 Jan |
Introduction [Slides][Video] |
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| 2 |
8 Jan |
Convention, Metrics, Classification, Regression [Slides][Video] |
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| 3 |
15 Jan |
Decision Tree 1 [Slides][Video] |
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| 4 |
16 Jan |
Decision Tree 2 [Slides][Video] |
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| 5 |
22 Jan |
Ensemble Learning [Slides][Video] |
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| 6 |
24 Jan |
Maths ML [Slides] Linear Regression [Slides][Video] |
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| 7 |
29 Jan |
Geometric Interpretation of Least Squares [Slides] Contour plot [Slides][Video] |
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| 8 |
31 Jan |
Linear Regression II [Slides] Convexity [Slides] [Video] |
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| 9 |
5 Feb |
Gradient Descent [Slides] [Video] |
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| 10 |
6 Feb |
Linear Regression (Time Complexity) [Slides] [Video] |
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| 11 |
12 Feb |
Constrained Optimisation [Slides] [Video] |
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| 12 |
13 Feb |
Ridge Regression [Slides] [Video] |
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| 13 |
19 Feb |
Lasso Regression I [Slides] [Video] |
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| 14 |
20 Feb |
Lasso Regression II [Video] |
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| 15 |
26 Feb |
Bayesian Learning [Slides] [Video] |
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| 16 |
27 Feb |
Bayesian Linear Regression [Slides] [Video] |
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| 17 |
19 Mar |
Logistic Regression I [Slides] [Video] |
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| 18 |
20 Mar |
Logistic Regression II [Video] |
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| 19 |
27 Mar |
Bayesian ML (guest lecture by Zeel Patel) [Video] |
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| 20 |
2 Apr |
MLP1 [Slides] [Video] |
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| 21 |
3 Apr |
MLP2 [Video] |
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| 22 |
9 Apr |
NN: Computation Graph [Video] |
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| 23 |
10 Apr |
NN: Backpropagation [Slides] [Video] |
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| 24 |
16 Apr |
CNN [Slides] [Video] |
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| 25 |
17 Apr |
Naive Bayes [Slides] [Video] |
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| 26 |
23 Apr |
KNN [Slides] [Video] |
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| 27 |
24 Apr |
SVM [Slides] [Video] |
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| 28 |
25 Apr |
SVM kernel and soft margin [Slides 1] [Slides 2] [Video] |
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