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.

Homework 6: Inference in Graphical Models, MDPs

Released: April 9

Due: April 23

Files

• Github Folder (Data, helper code, tex file)

Practical: Classifying Sounds

Released: March 26

Due: April 9

Files

• Github Folder (Instructions, helper code, tex file)

Homework 5: EM, PCA, and Graphical Models

Released: March 19

Due: April 2

Files

• Github Folder (Data, helper code, tex file)

Homework 4: SVM, Clustering, and EthiCS

Released: March 6

Due: March 19

Files

• Github Folder (Data, helper code, tex file)

Homework 3: Bayesian Methods and Neural Networks

Released: February 19

Due: March 5

Files

• Github Folder (Data, helper code, tex file)

Homework 2: Classification and Bias-Variance Trade-offs

Released: February 5

Due: February 19

Files

• Github Folder (Data, helper code, tex file)

Homework 1: Linear Regression

Released: January 26

Due: February 4

Files

• Github Folder (Data, helper code, tex file)

Homework 0: Math Review

Released: January 19

Due: Never

Files

• HW PDF
• Solution PDF
• Github Folder (Data, helper code, tex file)