0 |
25 Jul |
Pre-requisite quiz released |
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1 |
6 Aug |
Introduction and Logistics |
Transcription and local LLMs, Segmentation and Localization, Prompt to Image |
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2 |
7 Aug |
Convention, Metrics, Classification, Regression |
Rule based vs ML, Confusion Matrix, Dummy baselines |
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3 |
8 Aug |
Decision Trees 1 |
Entropy, Decision Trees Real Output, DT Real Input Discrete Output |
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4 |
13 Aug |
Decision Trees 2 |
Decision Trees + Overfitting, Underfitting |
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5 |
14 Aug |
Bias-Variance Trade-off 1, Cross-Validation |
Tuning Hyperparameters, Bias-Variance Analysis, Bias-Variance Charts |
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6 |
20 Aug |
Ensemble Learning |
Boosting Explanation, Ensemble Feature Importance, Ensemble Representation |
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7 |
21 Aug |
Decision Tree Pruning, Bias-Variance Trade-off 2 |
Decision Tree Pruning Notebook |
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8 |
22 Aug |
Maths for ML, Contours & Gradients, Decision Tree Time Complexity |
Contour Plots,Meshgrid & Contours |
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9 |
27 Aug |
Linear Regression 1 |
Decision Tree Pruning Notebook |
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10 |
28 Aug |
Linear Regression 2 |
Geometric Linear Regression,Basis Expansion,Basis Expansion 2, Dummy Variables |
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11 |
29 Aug |
Gradient Descent |
Taylor’s series, Contours & Gradient Descent |
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12 |
3 Sep |
Movie recommendation & Matrix Factorization |
Movie Recommendation |
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13 |
10 Sep |
Ridge Regression |
Ridge Regression |
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14 |
11 Sep |
Lasso Regression |
Lasso Regression |
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15 |
12 Sep |
Constrained Optimization |
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16 |
17 Sep |
Logistic Regression 1 |
Why use logits, Logistic regression in Torch |
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17 |
8 Oct |
Logistic Regression 2 |
Why use logits, Logistic regression in Torch |
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18 |
9 Oct |
Tutorial on Convexity, Hessian, IRLS |
Notebook on 2nd Order Logistic Regression |
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19 |
10 Oct |
Precision-Recall Curves |
Notebook on PR Curves |
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20 |
15 Oct |
Multi-Layer Perceptrons |
Perceptron learning algorithm |
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21 |
16 Oct |
Automatic Differentiation |
Notebook on Autodiff |
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22 |
17 Oct |
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Autograd from scratch |
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23 |
22 Oct |
Next Token Prediction |
Notebook, Streamlit App |
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24 |
23 Oct |
CNN - I |
Notebook 1, Notebook 2 on edge detection, Notebook 3 on LeNet |
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