Introduction to Machine Learning
(Fall 2025)

You are not logged in.

Please Log In for full access to the web site.
Note that this link will take you to an external site (https://shimmer.mit.edu) to authenticate, and then you will be redirected back to this page.

Announcements for (Mon, Oct 13 - Sun, Oct 19)

Midterm 1 Results
  • The midterm grades are available on Gradescope. Please log in with your MIT email for Gradescope access (this applies to cross-registered students as well).
  • We have applied an offset of +4 points to every submission on Gradescope. The resulting median score is 75.0, the mean is 75.19, and the standard deviation is 13.21. A blank midterm can be found here. Midterm solutions can be found here.

  • The Weeks 1–4 material provides the linear algebra foundation for the more conceptual modules ahead. We encourage you to take some time to reflect on the exam, and visit instructor office hours if you'd like to discuss your performance or study strategies.

  • If you wish to request a regrade, please submit your request on Gradescope. Be sure to include a clear explanation and justification for the specific question(s) and part(s) you want reconsidered. Note that regrade reviews may result in no change, addition of points, or reduction of points. We will also review other parts of your midterm for grading accuracy.

  • Regrade requests will open on Tuesday, Oct 14, 5pm, and close on Friday, Oct 17, 11pm.

Regular content week annoucements
  • There is a student in our class who needs copies of class notes as an approved accommodation. If you're interested in serving as a paid note taker, please reach out to DAS, at 617-253-1674 or das-student@mit.edu. More details of the job can be found here.

Archived announcements are available here.

Recent Past and Near Future (full-term calendar available here):

Monday Tuesday Wednesday Thursday Friday
Oct 06 Oct 07 Oct 08 Oct 09 Oct 10

Lab 5

Midterm 1

Lecture 6: NN

Homework 6 Out

Exercise 6 Out

Recitation 6

Notes 6

Oct 13 Oct 14 Oct 15 Oct 16 Oct 17

Indigenous Peoples' Day - No OHs

Exercise 6 Due

Homework 4 Due

Lecture 7: CNN

Homework 7 Out

Lab 6

Homework 5 Due

Exercise 7 Out

Recitation 7

Notes 7

Oct 20 Oct 21 Oct 22 Oct 23 Oct 24

Exercise 7 Due

Homework 6 Due

Lecture 8: Representation

Homework 8 Out

Lab 7

Exercise 8 Out

Recitation 8

Notes 8