Introduction to Machine Learning
(Fall 2024)

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Looking for information about Spring 2025?

Announcements to Wrap Up the Semester

Best wishes for the holidays to everyone in 6.390! Some final announcements:

  • The final exam statistics are: median 75.43, mean 74.43, and standard deviation 11.16. You can view your final exam as well as the rubric in Gradescope.

  • Full credit was given for every student on Problem 5, Part (c). This is reflected in Gradescope.

  • We do not have a regrade request window for the final exam. If you have strong evidence that a grading error has been made, and that the error will affect your overall letter grade in the subject, please email details to 6.390-personal@mit.edu for consideration.

  • The 6.390 staff would like to thank you all for a wonderful semester! We hope that everyone has a joyful and relaxing break!

The calendar below will be populated throughout the semester with links to notes, lectures, recitations, labs, and homeworks. The current week is highlighted vertically in blue.

Topic 1: Intro to ML

First class: Lab on Wed, 4 Sep
Notes:  Course Overview Slides, Chap. 1, Chap. 2 up to 2.4
No Exercises
No Recitation
Lab: in class
Homework: online
Topic 2: Analytical Regression

Notes:  Chap. 2, Appendix A - Matrix derivatives
Lecture: in class
   Start: Fri, 6 Sep at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 9 Sep at 9:30am
Lab: in class
Homework: online
Topic 3: Gradient Descent

Notes:  Chap. 3
Lecture: in class
   Start: Fri, 13 Sep at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 16 Sep at 9:30am
Lab: in class
Homework: online
Topic 4: Linear Classifiers and Logistic Regression

Fri, 20 Sep (Student holiday)
Notes:  Chap. 4
Lecture: in class
   Start: Fri, 20 Sep at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 23 Sep at 9:30am
Lab: in class
Homework: online
Topic 5: Features

Add Date: Fri, 4 Oct
Notes:  Chap. 5
Lecture: in class
   Start: Fri, 27 Sep at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 30 Sep at 9:30am
Lab: in class
Homework: online
Topic 6: Neural Networks

Notes:  Chap. 6 up to 6.5
Lecture: in class
   Start: Fri, 4 Oct at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 7 Oct at 9:30am
Lab: in class
Homework: online
Topic 7: Neural Networks II, Autoencoders

No class on Mon, 14 Oct (Indigenous Peoples' Day)
Notes:  Chap. 6 to end, Chap. 10
Lecture: in class
   Start: Fri, 11 Oct at 12:00pm
Exercises: online
No Recitation
Lab: in class
Homework: online
Midterm Exam Week (Mon, 21 Oct - Fri, 25 Oct)

Midterm Exam: Wed, 23 Oct at 7:30pm
Review Session: in class
  Start: Fri, 18 Oct at 12:00pm, 45-230
No Recitation on Mon, 21 Oct
No Lab on Wed, 23 Oct
Topic 8: Convolutional Neural Networks

Notes:  Chap. 8
Lecture: in class
   Start: Fri, 25 Oct at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 28 Oct at 9:30am
Lab: in class
Homework: online
Topic 9: Transformers

Notes:  Chap. 9
Lecture: in class
   Start: Fri, 1 Nov at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 4 Nov at 9:30am
Lab: in class
Homework: online
Topic 10: Clustering

No class on Mon, 11 Nov (Veterans Day)
Notes:  Chap. 7
Lecture: in class
   Start: Fri, 8 Nov at 12:00pm
Exercises: online
No Recitation
Lab: in class
Homework: online
Topic 11: Markov Decision Processes

Notes:  Chap. 11
Lecture: in class
   Start: Fri, 15 Nov at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 18 Nov at 9:30am
Lab: in class
Homework: online
Topic 12: Reinforcement Learning

Notes:  Chap. 12
Lecture: in class
   Start: Fri, 22 Nov at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 25 Nov at 9:30am
Lab: in class
Homework: online
Topic 13: Decision Trees and Nearest Neighbors

Last Due Date: Fri, 6 Dec
Notes:  Chap. 13
Lecture: in class
   Start: Fri, 29 Nov at 12:00pm
Exercises: online
Recitation: in class
   Start: Mon, 2 Dec at 9:30am
Lab: in class
Homework: online
Topic 14: End of term wrapup

Guest Speaker Prof. Marzyeh Ghassemi for Lecture on Fri, 6 Dec
Lecture: in class
   Start: Fri, 6 Dec at 12:00pm
No Exercises
No Recitation
No Lab
No Homework
Final Exam Week (Mon, 16 Dec - Fri, 20 Dec)

Final Exam: Fri, Dec 20 at 9:00am
Information and Practice Materials


Batch download/materials: Complete Lecture Notes Draft - Note that chapters are subject to change week by week.