ECEN 765.600: Machine Learning with Networks

Fall 2018

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

Time & location (tentative): T/R 14:20-15:35 @ ZACH 341

Grading: Homework assignments (30%) + Midterm Exams (30%) + Course Project (40%)

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

Recommended readings:

1. Hands-on Machine Learning with Scikit-Learn & TensorFlow by A Geron (ISBN 9781491962299)

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

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

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

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

Check eCampus for updates!!

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Announcements:

· Tentative course syllabus [syllabus] is posted on Aug. 2^nd, 2018.

Handouts:

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

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

Check eCampus for updates

Homework assignments:

· Homework #1, Check eCampus for updates

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