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]