Introduction to Machine Learning

Homepage
http://www.cs.huji.ac.il/~iml

Exercises Solutions

1. Exercise #1 and Solution
2. Exercise #2 and Solution
   Maximum likelihood estimation of covariance matrix in multivariate normal distribution.
3. Exercise #3 and Solution
   Lagrange multipliers.
4. Exercise #4 and Solution
   Lagrange multipliers, Duality.
5. Exercise #5 and Solution
   EM practice.
6. Exercise #6 and Solution
   Kernels, SVMs, Duality.
7. Exercise #7 and Solution
   Linear Least Squares.
8. Exercise #8 and Solution
   SVD in practice.
9. Exercise #9 and Solution
   PCA in practice, Kernel PCA.
10. Exercise #10 and Solution
    SVM in practice.
11. Exercise #11 and Solution
    PAC learning, VC dimension.