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#  [](https://eecs189.org/fa26/#cs-189289a-intro-to-machine-learning) CS 189/289A: Intro to Machine Learning 
##  [](https://eecs189.org/fa26/#uc-berkeley-fall-2026) UC Berkeley, Fall 2026 
[Ed](https://edstem.org/us/courses/100913) [Office Hours Queue](https://oh.eecs189.org) [Additional Accommodations](https://forms.gle/hsweviwj8VX5XBQ26) [Pensive](https://www.pensive.com/student/classes/berkeley_introtomachinelearningcs189289_fa26) [Class Drive](https://drive.google.com/drive/folders/1dtYlzVBiR2OjpCsuJ8Up6LylH5wiW564?usp=sharing) [Askademia](https://www.askademia.org/compsci189/fa26) [Github Repository](https://github.com/BerkeleyML/fa26-student) [FAQ](https://eecs189.org/fa26/faq)
![Narges Norouzi profile photo](https://eecs189.org/fa26/resources/assets/staff_pics/Narges_Norouzi.jpg)
###  [](https://eecs189.org/fa26/#narges-norouzi) [Narges Norouzi](https://nargesnorouzi.me/)She/Her
norouzi@berkeley.edu
Office Hours: Mondays 9 - 10 AM, GTWY 1110B
![Joseph Gonzalez profile photo](https://eecs189.org/fa26/resources/assets/staff_pics/Joseph_Gonzalez.jpg)
###  [](https://eecs189.org/fa26/#joseph-gonzalez) [Joseph Gonzalez](https://joeygonzalez.com/)He/Him
jegonzal@berkeley.edu
Office Hours: Mondays 3 - 4:45 PM, GTWY 1110B
  * Our course staff email is cs189-instructors@berkeley.edu. This email is monitored by the instructors, the head TAs, and a few lead TAs.


> Welcome to [Week 6](https://eecs189.org/fa26/#week-6) of CS 189/289A!
> Lectures will be broadcast at this [link](https://berkeley.zoom.us/j/92274578761).
> **Please note that the size of this course is not expanding, and we cannot predict whether you will get off the waitlist.**
##  [](https://eecs189.org/fa26/#schedule) Schedule 
##  [](https://eecs189.org/fa26/#week-1) Week 1  

Mon Aug 24
     No Discussion No Discussion 

Tue Aug 25
     No Lecture No Lecture 

Wed Aug 26


Thu Aug 27
     Lecture 1 [Introduction + ML Problem Framing](https://eecs189.org/fa26/lecture/lec01)      **Lecture Participation 1** [Slido](https://app.sli.do/event/3VPENHBcByiqK4UK82PUoq/embed/polls/613427a7-8e4a-4145-b558-c92e6a03d58e) 

Fri Aug 28

##  [](https://eecs189.org/fa26/#week-2) Week 2  

Mon Aug 31
     Discussion [ML Problem Framing](https://eecs189.org/fa26/discussion/discussion_1) 

Tue Sep 1
     Lecture 2 [KNN, ML Vocabulary, and K-Means](https://eecs189.org/fa26/lecture/lec02)      **Lecture Participation 2** [Slido](https://app.sli.do/event/oWBZvUaTRWfiyGyCxG55X3/embed/polls/077b5747-d13f-4667-9b29-5cb121fbfe82) 

Wed Sep 2


Thu Sep 3
     Lecture 3 [Dimensionality Reduction](https://eecs189.org/fa26/lecture/lec03)      **Lecture Participation 3** [Slido](https://app.sli.do/event/5KA4HXXZsCWrm6WXn47FA5/embed/polls/a1aad382-b1b7-4364-a5b1-f8bb77deefab) 

Fri Sep 4
    **Homework 1**
##  [](https://eecs189.org/fa26/#week-3) Week 3  

Mon Sep 7
    **Labor Day - Holiday** 

Tue Sep 8
     Lecture 4 [Probability and Density Estimation](https://eecs189.org/fa26/lecture/lec04)      **Lecture Participation 4** [Slido](https://app.sli.do/event/jzWmzWj6YbJj8iZ6XEFt3m/embed/polls/e15b118c-2232-41ce-979d-00a9f1434280) 

Wed Sep 9
     Discussion [Math Refresher (Linear Algebra, Probability); K-Means and KNN](https://eecs189.org/fa26/discussion/discussion_2) 

Thu Sep 10
     Lecture 5 [Density Estimation and GMM](https://eecs189.org/fa26/lecture/lec05)      **Lecture Participation 5** [Slido](https://app.sli.do/event/rAJo9E26oJmYkXQ8FmkATn/embed/polls/7584dc7f-ace5-41ad-a87f-8c1884a91566) 

Fri Sep 11

##  [](https://eecs189.org/fa26/#week-4) Week 4  

Mon Sep 14
     Discussion [Density Estimation and GMMs](https://eecs189.org/fa26/discussion/discussion_3) 

Tue Sep 15
     Lecture 6 [Linear Regression](https://eecs189.org/fa26/lecture/lec06)      **Lecture Participation 6** [Slido](https://app.sli.do/event/uQ9bV1TwSnekTEaJzNMWMx/embed/polls/e506b2c0-b4d6-448f-93f6-d20daa9b551b) 

Wed Sep 16


Thu Sep 17
     Lecture 7 [Bias-Variance Trade-off + Regularization](https://eecs189.org/fa26/lecture/lec07)      **Lecture Participation 7** [Slido](https://app.sli.do/event/rU4yFxbhDa6ZZFKqPfKDSe/embed/polls/3557c55c-bc6b-43aa-ba37-d66c5b1971f4) 

Fri Sep 18
    **Homework 1 Part 1 due**
##  [](https://eecs189.org/fa26/#week-5) Week 5  

Mon Sep 21
     Discussion [Linear Regression + MLE Perspective](https://eecs189.org/fa26/discussion/discussion_4) 

Tue Sep 22
     Lecture 8 [Logistic Regression (1)](https://eecs189.org/fa26/lecture/lec08)      **Lecture Participation 8** [Slido](https://app.sli.do/event/uD6SUneHAug22CFz3V3aV5/embed/polls/e5fc19e5-501a-4d2a-91e1-13583b07f53d) 

Wed Sep 23


Thu Sep 24
     Lecture 9 [Logistic Regression (2)](https://eecs189.org/fa26/lecture/lec09)      **Lecture Participation 9** [Slido](https://app.sli.do/event/2SkZcBbZFXs8SLcya5h56w/embed/polls/b19f324a-4f1c-4f41-864c-e9b1852e6f1b) 

Fri Sep 25
    **Homework 2**     **Homework 1 Part 2 due**
##  [](https://eecs189.org/fa26/#week-6) Week 6 (Current Week) 

Mon Sep 28
     Discussion [Logistic Regression + Regularization + Bias/Variance](https://eecs189.org/fa26/discussion/discussion_5) 

Tue Sep 29
     Lecture 10 [Gradient Descent (1)](https://eecs189.org/fa26/lecture/lec10)      **Lecture Participation 10** [Slido](https://app.sli.do/event/xnX39bDhpswUei3Pw8n3dg/embed/polls/715eedd1-33da-4e51-bbf1-566932e78423) 

Wed Sep 30


Thu Oct 1
     Lecture 11 [Gradient Descent (2)](https://eecs189.org/fa26/lecture/lec11)      **Lecture Participation 11** [Slido](https://app.sli.do/event/3RnwJEjMLxiDFqh2oXcGUJ/embed/polls/27e6675f-5a6d-4043-81c1-80e922d51a99) 

Fri Oct 2

##  [](https://eecs189.org/fa26/#week-7) Week 7  

Mon Oct 5
     Discussion [Gradient Descent](https://eecs189.org/fa26/discussion/discussion_6) 

Tue Oct 6
     Lecture 12 [Neural Networks (1): Non-linearity, Architecture, Activation Functions, Output Layers, and Loss](https://eecs189.org/fa26/lecture/lec12) 

Wed Oct 7


Thu Oct 8
     Lecture 13 [Neural Networks (2): Backpropagation](https://eecs189.org/fa26/lecture/lec13) 

Fri Oct 9
    **Homework 3**     **Homework 2 due**
##  [](https://eecs189.org/fa26/#week-8) Week 8  

Mon Oct 12
     Discussion Neural Networks 

Tue Oct 13
     Lecture 14 [Neural Networks (3): Batch Normalization, Initialization, and Regularization](https://eecs189.org/fa26/lecture/lec14) 

Wed Oct 14


Thu Oct 15
     Lecture 15 [Neural Networks (4)](https://eecs189.org/fa26/lecture/lec15) 

Fri Oct 16
     Midterm Review Midterm Review
##  [](https://eecs189.org/fa26/#week-9) Week 9  

Mon Oct 19
     No Discussion No Discussion 

Tue Oct 20
     No Lecture No Lecture      Midterm Exam Midterm (5:00–6:30 PM) 

Wed Oct 21


Thu Oct 22
     Lecture 16 [Neural Networks (5) + Architectures: CNN](https://eecs189.org/fa26/lecture/lec16) 

Fri Oct 23
    **Homework 3 Part 1 due**
##  [](https://eecs189.org/fa26/#week-10) Week 10  

Mon Oct 26
     Discussion CNNs 

Tue Oct 27
     Lecture 17 [Architectures: CNN](https://eecs189.org/fa26/lecture/lec17) 

Wed Oct 28


Thu Oct 29
     Lecture 18 [Transformers](https://eecs189.org/fa26/lecture/lec18) 

Fri Oct 30
    **Homework 4**     **Homework 3 Part 2 due**
##  [](https://eecs189.org/fa26/#week-11) Week 11  

Mon Nov 2
     Discussion Transformers 

Tue Nov 3
     Lecture 19 [LLM](https://eecs189.org/fa26/lecture/lec19) 

Wed Nov 4


Thu Nov 5
     Lecture 20 [LLM](https://eecs189.org/fa26/lecture/lec20)
Fri Nov 6 :
##  [](https://eecs189.org/fa26/#week-12) Week 12  

Mon Nov 9
     Discussion LLMs 

Tue Nov 10
     Lecture 21 [Attention Methods](https://eecs189.org/fa26/lecture/lec21) 

Wed Nov 11
    **Veterans Day - Holiday** 

Thu Nov 12
     Lecture 22 [MDP, RL](https://eecs189.org/fa26/lecture/lec22) 

Fri Nov 13
    **Homework 4 Part 1 due**
##  [](https://eecs189.org/fa26/#week-13) Week 13  

Mon Nov 16
     Discussion LLMs / Attention and MDP/RL 

Tue Nov 17
     Lecture 23 [RL](https://eecs189.org/fa26/lecture/lec23) 

Wed Nov 18


Thu Nov 19
     Lecture 24 [Guest Lecture: TBD](https://eecs189.org/fa26/lecture/lec24) 

Fri Nov 20
    **Homework 5**     **Homework 4 Part 2 due**
##  [](https://eecs189.org/fa26/#week-14) Week 14  

Mon Nov 23
     No Discussion No Discussion 

Tue Nov 24
     Lecture 25 [Post-training: Fine-tuning, LoRA, PEFT, and Distillation](https://eecs189.org/fa26/lecture/lec25) 

Wed Nov 25
    **Thanksgiving - Holiday** 

Thu Nov 26
     No Lecture No Lecture
Fri Nov 27 :
##  [](https://eecs189.org/fa26/#week-15) Week 15  

Mon Nov 30
     Discussion Reinforcement Learning 

Tue Dec 1
     Lecture 26 [Diffusion](https://eecs189.org/fa26/lecture/lec26) 

Wed Dec 2


Thu Dec 3
     Lecture 27 [Closing](https://eecs189.org/fa26/lecture/lec27) 

Fri Dec 4
    **Homework 5 Part 1 due**
##  [](https://eecs189.org/fa26/#week-16) Week 16  

Mon Dec 7


Tue Dec 8
     Final Review Final Review 

Wed Dec 9


Thu Dec 10


Fri Dec 11
    **Homework 5 Part 2 due**
##  [](https://eecs189.org/fa26/#week-17-finals-week) Week 17 - Finals Week  

Mon Dec 14


Tue Dec 15


Wed Dec 16


Thu Dec 17
     Final Exam Final (11:30 AM - 2:30 PM, cumulative) 

Fri Dec 18

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