| Instructor: | Prof. Michael Paul | (Office hours: Thursdays 3:30–4:45pm, ENVD 207) |
| Time/Place: | Tuesday/Thursday 5:00pm–6:15pm, HUMN 135 |
|
| Discussion: | http://piazza.com/colorado/fall2017/info4604 |
| Textbook: | Sebastian Raschka (2015) Python Machine Learning, 1st Edition. |
| Introduces algorithms and tools for building intelligent computational systems. Methods will be surveyed for classification, regression and clustering in the context of applications such as document filtering and image recognition. Students will learn the theoretical underpinnings of common algorithms (drawing from mathematical disciplines including statistics and optimization) as well as the skills to apply machine learning in practice. |
|
| Prerequisites: |
|