This material has been developed for the course MSA8010 in the Master of Science in Analytics at the J. Mack Robinson College of Business at Georgia State University.
The schedule below applies to all sections for Fall 2017. Please, refer to this page for any changes.
| # | Track I | Track II | Topic | Reading |
|---|---|---|---|---|
| 1 | Mon, August 21 | We, August 23 | UNIX file system, command line tools, Jupyter notebook | (online) |
| 2 | Mon, August 28 | We, August 30 | Python programming language, Review | (online) |
| 3 | Mon, Sept 11 | We, Sept 6 | Numpy and linear algebra operations | (online) |
| 4 | Mon, Sept 18 | We, Sept 13 | Pandas data frames, loading data, data-table manipulation | (online) |
| 5 | Mon, Sept 25 | We, Sept 20 | Operating with multiple tables, joining and reshaping | (online) |
| 6 | Mon, Oct 2 | We, Sept 27 | Descriptive statistics with Pandas data tables | (online) |
| 7 | Mon, Oct 9 | We, Oct 4 | Data visualization | (online) |
| 8 | Mon, Oct 16 | We, Oct 11 | Machine Learning I | ML Chapter 2, 8 |
| 9 | Mon, Oct 23 | We, Oct 18 | Machine Learning II | ML Chapter 3 |
| 10 | Mon, Oct 30 | We, Oct 25 | Information Based Learning | ML Chapter 4 |
| 11 | Mon, Nov 6 | We, Nov 1 | Similarity Based Learning | ML Chapter 5 |
| 12 | Mon, Nov 13 | We, Nov 8 | Probability Based Learning | ML Chapter 6 |
| 13 | Mon, Nov 27 | We, Nov 15 | Error Based Learning | ML Chapter 7 |
| 14 | Mon, Dec 4 | We, Nov 29 | Presentations | |
| TBA | TBA | Final Exam |
Fundamentals of Machine Learning for Predictive Data Analytics
by John D. Kelleher, Brian Mac Namee, and Aoife D’Arcy MIT-Press
- Hardcover: ISBN 9780262029445, 624 pp., July 2015
- eBook: ISBN 9780262331722, 624 pp., July 2015