CS 5 - Introduction to Machine Learning

    Recent Professors
    TED LEE, CARLOS MORENO
    Recent Semesters
    Spring 2026, Spring 2025, Spring 2024
    Class Size
    30 students
    Credits
    3
    Prerequisite
    Prerequisite(s): All prerequisites must be completed with a minimum grade of "C" (or "P") or higher. CS 1 Recommended Course Preparation: CS 7 STAT C1000
    Spring 2026 Sections
    View Spring 2026 sections of CS 5
    Transfers To
    CSU
    Description
    An introduction to machine learning (ML), with an emphasis on programming ML applications and using modern ML libraries. Basic discrete mathematics, statistics, and linear algebra. An overview of various supervised learning classifiers. Unsupervised learning via clustering. Reinforcement learning with model-based and model-free approaches. Safety and ethical concerns of machine learning.
    Usually Held
    Tue Thu 2:00pm–3:05pm, Tue Thu 3:15pm–4:00pm, Tue Thu 10:15am–11:00am, Tue Thu 9:00am–10:05am