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
Prerequisites
- CS 302 with a “C” or better
- MATH 330 with a “C” or better
CS 302MATH 330
Recommended Preparation
- Calculus
- Probability and Statistics
Original catalog text
Prerequisites
CS 302 with a “C” or better; MATH 330 with a “C” or better.
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.