CS229: Machine Learning

Course Information

Time and Location

Instructor Lectures: Mon, Wed 1:30 PM - 2:50 PM Hewlett 200

CA Lectures: Please check the Syllabus page or the course's Canvas calendar for the latest information.

Prerequisites: knowledge of basic computer science principles and skills at a level sufficient to write a reasonably non-trivial computer program in Python/NumPy to the equivalency of CS106A, CS106B, or CS106X, familiarity with probability theory to the equivalency of CS 109, MATH151, or STATS 116, and familiarity with multivariable calculus and linear algebra to the equivalency of MATH51 or CS205. Please see pset0 on ED.

Quick Links

All links will require a Stanford email to access. Course documents are only shared with Stanford University affiliates.

• Course Logistics and FAQ
• Syllabus and Course Materials
• Final Project Information
• Previous Offerings: Summer 2025, Winter 2025, Fall 2024, Summer 2024, Winter 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020

Contact and Communication

Ed is the primary method of communication for this class. Please do NOT reach out to the instructors (or course staff) directly, otherwise your questions may get lost. Due to a large number of inquiries, we encourage you to first read the Course Logistics and FAQ document for commonly asked questions, and then create a post on Ed to contact the course staff.

This quarter we will be using Ed as the course forum.

• All official announcements and communication will happen over Ed.
• Any questions regarding course content and course organization should be posted on Ed. You are strongly encouraged to answer other students' questions when you know the answer.
• For private matters specific to you (e.g. special accommodations, requesting alternative arrangements etc.), please create a private post on Ed.
• For longer discussions with TAs, please attend office hours.
• TA office hours can be found on Canvas. For the course calendar, see also Canvas and the Syllabus and Course Materials page.
• Before the beginning of the course, please contact the head TA for logistical questions (ideally after consulting the FAQ link).

AIWG Statement

This course is participating in the proctoring pilot overseen by the Academic Integrity Working Group (AIWG). The purpose of this pilot is to determine the efficacy of proctoring and develop effective practices for proctoring in-person exams at Stanford. To find more details on the pilot or the working group, please visit the AIWG’s webpage.

OAE Deadlines Statement

IMPORTANT OAE DEADLINES: If you plan to use your OAE-approved exam accommodations for a specific assessment, students must provide their letter and inform the instructor by:

• 10 calendar days prior to a midterm or quiz date.

You only need to submit your letter once per quarter. For urgent OAE-related accommodation needs that arise after the deadline, please consult your OAE adviser. If you are not yet registered with OAE, contact the office directly at oae-contactus@stanford.edu