Below are the required videos for today’s class, as well as slides from class embedded. Feel free to download them to keep them locally, or leave them archived here and just bookmark them. We will leave the website open even after the course is over for a reasonable number of years.
Pre-lecture 3 Videos¶
Below are the assigned videos for Lecture 3.
1. Generalization
2. Data Splitting
3. Cross Validation
4. Fundamental Tradeoff of ML
Pre-lecture 4 Videos¶
Below are the assigned videos for Lecture 4
1. Analogy-based Algorithms
2. k-Nearest Neighbours
3. kNNs continued
4. Support Vector Machine with RBF Kernel
Class Slides¶
Lecture03¶
Download the Slides from today