Course Info & Policies

Course #: Computer Science 189/289

Course Title: Introduction to Machine Learning

Instructors: Alexei Efros & Isabelle Guyon

Offering: Fall 2015

Location: 245 Li Ka Shing

Time: Tuesdays & Thursdays, 12:30 pm - 2:00 pm

Prerequisites: Mathematics 53, 54; Computer Science 70; Computer Science 188 or consent of instructor.

 

Requirements:

 

CS189 Grading:

 

CS289 Grading:

 

Late homework policy: You have a total of 5 emergency days for the entire course. Emergency days are counted by rounding up (if you miss the deadline by one minute, that counts as 1 emergency day). Be cautious with your emergency days; emergency days include family emergencies and illness. Don't get stuck with no emergency days when your computer crashes the day the last homework is due. No credit will be given once all emergency days are used.

 

Textbooks:

 

Communication with Staff: Piazza is the place. In general, post a public question or note on Piazza. For questions/concerns related to you only, please create a private post on Piazza so the course staff can be sure that your post is addressed. If for some reason Piazza is not working for you, of course you can always e-mail the course staff at cs189-staff@lists.berkeley.edu (instructors and GSI's) or e-mail individual staff members.