CSC 411 Winter 2019
Machine Learning and Data Mining
- Homework 1
-
- Nearest Neighbours and the Curse of Dimensionality
-
- Decision Trees
-
- Homework 2
-
- Information Theory
-
- Benefit of Averaging
-
- Homework 3
-
- Robust Regression
-
- Locally Weighted Regression
-
- Homework 4
-
- AlexNet
-
- Gaussian Naı̈ve Bayes
-
- Homework 5
-
- Gaussian Discriminant Analysis
-
- Categorical Distribution
-
- Factor Analysis
-
- Homework 6: Image Completion using Mixture of Bernoullis
-
- Learning the parameters
-
- Posterior inference
-
- Conceptual questions
-
- Homework 7
-
- Representer Theorem
-
- Compositional Kernels
-
- Homework 8: Spend or Save
-
- 1
-
- 2
-
- 3
-
- 4
-
- 5
-