Course Description
Machine learning describes the development of algorithms whose parameters can be adjusted (i.e., learned) based on data in order to recognize patterns and make decisions. This course will introduce the fundamentals of modern machine learning. We will describe how to implement several practical methods for pattern recognition (regression and classification), clustering, and dimensionality reduction, as well as methods for training and evaluating learned models.
The in-class lectures meet weekly Monday and Wednesday 5:00PM to 6:16PM in Harvill 115 (north building)
Instructors
Prof. Clayton T. Morrison
- Email: claytonm at email dot arizona dot edu
- Office: Harvill 437A
- Office Hours:
- Monday and Wednesday: 4:00pm-5:00pm
- and by appointment (email works best to get in touch)
TA: Enrique Noriega
- Email: enoriega at email dot arizona dot edu
- Office: Harvill 456
- Office Hours:
- Tuesday and Thursday, 4:00pm-5:00pm
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