Fall 2013: Homework
- Homework 1 (Due Thursday 9/5): Polynomial curve-fitting; Decision theory (Solutions)
- Homework 2 (Due Thursday 9/12): Density estimation: ML and MAP estimation, Mixture Gaussians (Solutions)
- Homework 3 (Due Tuesday 9/24): Non-parametric estimation, Linear discriminants (Solutions)
- Homework 4 (Due Thursday 10/3): Linear classifiers, non-linear activation, perceptron (Dataset, Solutions)
- Homework 5 (Due Tuesday 10/17): Multiple layers, deep architectures (Solutions)
- Homework 6 (Due Tuesday 10/29): L1 risk, k-means clustering, Newton's method (Solutions)
- Homework 7 (Due Thursday 11/14): PCA, kernels, restricted Boltzmann machine (Solutions)