Introduction to Machine Learning
(Spring 2024)

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

Archived announcements are available here.

Monday Tuesday Wednesday Thursday Friday
Week  1 Feb 5 Feb 6 Feb 7 Feb 8 Feb 9
Intro to ML Notes 1
Notes 2 (up to chap 2.4) 		Recitation 1   Lab1 out   Lecture 2- Regression and regularization
HW1 out   Exercise 2 out  
   
Week  2 Feb 12 Feb 13 Feb 14 Feb 15 Feb 16
Regression and Regularization Notes
Notes 2 		Exercise 2 due   Lab 2 out   Lecture 3 - Gradient descent
Recitation 2   Exercise 3 out  
HW 2 out   HW 1 due
Lab 1 due    
Week  3 Feb 19 Feb 20 Feb 21 Feb 22 Feb 23
Gradient Descent
Notes		 President's Day Exercise 3 due Lab 3 out Lecture 4 - Logistic Regression
No Class Recitation 3 Exercise 4 out  
No OHs Lab 2 due HW 2 due  
HW 3 out    
Week  4 Feb 26 Feb 27 Feb 28 Feb 29 Mar 1
Logistic Regression
Notes 		Exercise 4 due   Lab 4 out   Lecture 5 - Features
Recitation 4   Exercise 5 out  
HW 4 out   HW 3 due  
Lab 3 due    
Week  5 Mar 4 Mar 5 Mar 6 Mar 7 Mar 8
Features Notes Exercise 5 due   Lab 5 out   Add Date
Recitation 5   Exercise 6 out   Lecture 6 - Neural Networks
HW 5 out   HW 4 due  
Lab 4 due  
Week  6 Mar 11 Mar 12 Mar 13 Mar 14 Mar 15
Neural Networks Notes Exercise 6 due   Lab 6 out   Lecture time: Midterm review
Recitation 6   HW 5 due  
HW 6 out    
Lab 5 due    
Mar 18 Mar 19 Mar 20 Mar 21 Mar 22
Midterm Week Lab 6 due   Midterm Exam Exercise 7 out Lecture 7 - Convolutional Neural Nets (CNN)
    HW 6 due
       
Spring Break
Week 7 Apr 1 Apr 2 Apr 3 Apr 4 Apr 5
CNN
Notes		 Exercise 7 due   Lab 7 out   Lecture 8 - Transformers
Recitation 7   Exercise 8 out  
HW 7 out    
Week 8 Apr 8 Apr 9 Apr 10 Apr 11 Apr 12
Transformers
Notes		 Exercise 8 due   Lab 8 out   Lecture 9 - Non-parametric models
Recitation 8   Exercise 9 out  
HW 8 out   HW 7 due  
Lab 7 due      
Week  9 Apr 15 Apr 16 Apr 17 Apr 18 Apr 19
Non-parametric models
Notes		 Patriots' Day  Exercise 9 due Lab 9 out   Lecture 10 - Markov Decision Processes (MDP)
No Class Lab 8 due Exercise 10 out  
HW 9 out HW 8 due  
Week  10 Apr 22 Apr 23 Apr 24 Apr 25 Apr 26
MDPs
Notes		 Exercise 10 due Drop Date Lab 10 out   Lecture 11 - Reinforcement Learning
Recitation 10   Exercise 11 out  
HW 10 out   HW 9 due  
Lab 9 due      
Week  11 Apr 29 Apr 30 May 1 May 2 May 3
RL
Notes		 Exercise 11 due   Lab 11 out   Lecture 12 - Unsupervised Learning
Recitation 11   Exercise 12 out  
HW 11 out   HW 10 due  
Lab 10 due      
Week  12 May 6 May 7 May 8 May 9 May 10
Unsupervised Learning
Notes
Exercise 12 due   Lab 12 out   Last-due Date
Recitation 12   HW 11 due   Special lecture: Generative AI
HW 12 out    
Lab 11 due   HW 12 due
    Lab 12 due
Week  13 May 13 May 14 May 15 May 16 May 17
  No class Last-class Date     Final-exam period starts
  Final review    
  May 20
Final Exam
130pm-430pm