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CS 622

Introduction to Machine Learning

Catalog2026-2027
Credits3 units
LevelGraduate
Average gradeB+
Standard

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.