CMPS 290C - Advanced Machine Learning - Spring 2008
This quarter the advanced machine learning class will be covering convex optimization. We will be using Convex Optimization by Boyd and VanderbergheWe will be following Boyd's class.
The class will have regular (bi-weekly) homeworks, and a midterm
Midterm Update:
The midterm has been graded. There were a cluster of scores in the mid-30's (out of 45). Stop by my office today (Tuesday) between 1 and 3, or tomorrow (wednesday) between 2:15 and 4 to take a look at your exam.Handouts
- Assignments
- Solutions (from book's solution manual)
- List of review topics for exam
- Lecture slides (from Boyd)
- Intro to JMLR optimization special issue (Bennett,Parrado-Hernandez)
- The matrix cookbook
- A Postive-Definite Matrix article
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General Class Information
- Instructor:
- Name: David Helmbold ( dph@soe.ucsc.edu)
- Office: 345B Engineering 2
- Phone: 459-2016
- Instructor Office Hours:
- Tuesday 1-2:30 and by appointment (exception: hours on Tuesday April 15 will be 2-3)