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Homework

There are six homework assignments that help you practice the core concepts. These involve components that are theoretical and conceptual, and also require some programming.

The collaboration policy and late day policy can be found here.

Submission

Homework solutions must be completed in LaTeX. You must submit a PDF version along with the LaTeX file and all supplemental files (code, images, etc.) through Gradescope.

Each homework assignment has two corresponding Gradescope assignments - one for the writeup PDF and another for supplemental files.

When submitting the writeup PDF, you must assign pages for each question.

Independent Assignment

Assigned Wed Apr 29

Due Mon May 4 at 11:59 pm

Files

Turnin

Homework 6: Inference in Graphical Models, MDPs

Assigned Mon Apr 13

Due Sun Apr 26 at 11:59 pm

Files

Turnin

Homework 5: Mixtures, EM, and Graphical Models

Assigned Sun Mar 29

Due Fri Apr 10 at 11:59 pm

Files

Turnin

Homework 4: SVM, Clustering, and Ethics

Assigned Sat Mar 14

Due Fri Mar 27 at 11:59 pm

Files

Turnin

Homework 3: Bayesian Methods, Neural Networks, and Practical Supervised Learning

Assigned Sun Feb 23

Due Fri Mar 6 at 11:59 pm

Files

Turnin

Homework 2: Classification

Assigned Sun Feb 9

Due Fri Feb 21 at 11:59 pm

Files

Turnin

Homework 1: Linear Regression

Assigned Mon Jan 27

Due Fri Feb 7 at 11:59 pm

Files

Turnin