Lectures
Education is what remains after one has forgotten what one has learned in school.
Folder containing recordings: https://drive.google.com/drive/folders/1xC6qiifQGrpoYb1-TVeMQmyYi2c9Nk7j?usp=sharing
Folder containing spreadsheets: https://drive.google.com/drive/folders/1Nr23dXUI-2sxr0YSuqa2tm9rbpM773uJ?usp=sharing
| Lecture # | Date | Topic | Reading |
|---|---|---|---|
| 1 | 5 Jan | Introduction [Slides][Video] | |
| 2 | 6 Jan | Introduction [Slides][Video] | |
| 3&4 | 8 Jan | Convention, Metrics, Classification, Regression [Slides][Video] | |
| 5 | 10 Jan | Decision Tree 1 [Slides][Video] | |
| 6 | 12 Jan | Decision Tree 2 [Slides][Video] | |
| 7 | 13 Jan | Quiz 1 [PDF] | |
| 8 | 15 Jan | Decision Tree 2 [Slides][Video] | |
| 9 | 17 Jan | Cross validation [Slides][Video] | |
| 10 | 19 Jan | Ensemble Learning [Slides][Video] | |
| 11 | 20 Jan | Ensemble Learning 2 [Slides][Video] | |
| 12 | 22 Jan | Ensemble Learning 2 [Slides][Video] | |
| 13 | 24 Jan | Maths ML [Slides] [Video] | |
| 14 | 27 Jan | Linear Regression [Slides] | |
| [Video] | |||
| 15 | 31 Jan | Geometric Interpretation of Least Squares [Slides] Contour plot [Slides][Video] | |
| 16 | 2 Feb | Linear Regression II [Slides] [Video] | |
| 17 | 3 Feb | Convexity [Slides] [Video] | |
| 18 | 5 Feb | Gradient Descent [Slides] [Video] | |
| 19 | 7 Feb | Linear Regression (Time Complexity) [Slides] [Video] | |
| 20 | 9 Feb | Constrained Optimisation [Slides] [Video] | |
| 21 | 10 Feb | Ridge Regression [Slides] [Video][Notebook] [Hugging Face demo] | |
| 22 | 14 Feb | Ridge Regression [Slides] [Video][Notebook] [Hugging Face demo (updated)] | |
| 23 | 16 Feb | Ridge Regression [Slides] [Video] | |
| 24 | 18 Feb | Lasso Regression I [Slides] [Video] | |
| 25 | 21 Feb | Lasso Regression II [Slides] [Video] | |
| 26 | 23 Feb | Bayesian Learning [Slides] | |
| 27 | 24 Feb | Bayesian Learning [Slides] | [Video] |
| 28 | 14 Mar | Bayesian Linear Regression [Slides] | |
| 29 | 16 Mar | Bayesian Linear Regression [Slides] | |
| 30 | 17 Mar | Logistic Regression I [Slides] | |
| 31 | 23 Mar | Logistic Regression II Logistic regression cost derivation - 1, Part 2], 3Blue1Brown video on Taylor series, Taylor series -> Gradient descent | |
| 32 | 24 Mar | MLP1 [Slides] | |
| 33 | 28 Apr | MLP1 [Slides] | |
| 34 | 30 Apr | CNN [Slides] | |
| 35 | 31 Apr | CNN [Slides] | |
| 36 | … | Naive Bayes [Slides] | |
| 37 | … | SVM -1 [Slides] | |
| 38 | … | SVM kernel and soft margin [Slides 1] [Video] | Article from Jake Vanderplas’book [Slides 2] [Video] |
| 39 | … | Unsupervised learning [Slides][Video] |