Informatics 552:
Machine Learning for Data Informatics (3.0 units)
Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces. Recommended preparation: INF 550 and INF 551 taken previously or concurrently; knowledge of statistics and linear algebra; programming experience.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32402D | 048 | Lecture | 2:00-4:50pm | Wednesday | 34 of 37 | Stefan Scherer | WPH207 | PDF (86884 KB) |   |
| 32410D | 048 | Lecture | 3:30-6:20pm | Thursday | 34 of 37 | Satish Thittamaranahalli Ka | KAP146 | |