ECEN 765.600: Machine Learning with Networks

**Fall 2018**

### 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%) **

**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!!**

**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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