ECEN 765.600: Machine Learning with Networks

Fall 2017

 


Instructor: Xiaoning Qian [Office: WERC 205J; Phone: 979-845-6268; Office Hours: by email appointment]

Time & location (tentative): T/R 08:00-09:15 @ WEB 049

Grading: Homework assignments (50%) + Midterm Exams (30%) + Course Project (20%)


 

Objectives: This course will introduce the basics of machine learning, focusing on state-of-the-art research with structured data.

Recommended readings:

      1. Bayesian Reasoning and Machine Learning by D Barber (ISBN 9780521518147)

      2. Networks: An Introduction by MEJ Newman (ISBN 9780199206650)

      3. Understanding Machine Learning: From Theory to Algorithms by S Shalev-Shwartz and S Ben-David (ISBN 97801907057135)

      4. Other surveys and papers will be distributed in class.

   Check eCampus for updates!!


 

Announcements:

 

·  Tentative course syllabus [syllabus] is posted on Aug. 26th, 2017.

 

 

Handouts:

 

·  Handout #1 –[Review of linear Algebra] from Dr. Andrew Ng's Machine Learning course was posted on Aug. 7th, 2013.

·  Handout #2 –[Review of Probability Theory] from Dr. Andrew Ng's Machine Learning course was posted on Aug. 7th, 2013.

 

Check eCampus for updates

 

 

 

Homework assignments:

 

·  Homework #1, Check eCampus for updates

 

 

 

 


 

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