Overview
Description
Machine learning studies representations and algorithms that allow machines to improve their performance on a task from experience. This is a broad overview of existing methods for ML. Emphasis is given to practical aspects of ML.
Requirements
Recommended Preparation
- Calculus
- Probability and Statistics
Original catalog text
Recommended Preparation
Recommended Preparation: Calculus, Probability and Statistics.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- communicate effectively in a variety of professional contexts with a range of audiences.
- acquire and apply new knowledge as needed using appropriate learning strategies.
- apply engineering and computer science research and theory to advance the art, science, and practice of the discipline.