Intro to Machine Learning
ISTA 421 / INFO 521
Introduction to Machine Learning
[Fall 2018]

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 102 (north building)


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: Farig Sadeque
  • Email: farig at email dot arizona dot edu
  • Office: Harvill 456
  • Office Hours:
    • Tuesday and Wednesday: 3:00pm-4:00pm