Submitting Homeworks

Homeworks

Due date Type Topic
1 January 26 Theory (Solution) Modeling, Distributions
2 February 2 Programming Linear Regression, Nearest Neighbor
3 February 9 Theory (Solution) AB Testing, K Nearest Neighbor Regression
4 February 16 Programming Kernel Density Estimation, Kernel Regression
5 February 23 Theory (Solution) Exponential Family
6 March 9 Programming Perceptrons
7 March 24 Theory (Solution) Quantile Regression, Minimum Enclosing Ball
8 March 30 Programming Stochastic Gradient Descent
9 April 20 Theory (Solution) Inference on Mixture Models
10 April 20 Programming Gaussian Mixture Model
11 April 27 Theory (Solution)

Kalman Filter, Recommender Systems