UCSB CS / ECE Research Mentorship Program, connect with labs, PhD, and professor for research opportunities Apply Now
  • Courses
  • PSTAT
  • PSTAT 231

    • Introduction to Statistical Machine Learning . PSTAT 231

    Statistical Machine Learning is used to discover patterns and relationships in large data sets. Topics will include: data exploration, classification and regression trees, random forests, clustering and association rules. Building predictive models focusing on model selection, model comparison and performance evaluation. Emphasis will be on concepts, methods and data analysis; and students are expected to complete a significant class project, individual or team based, using real world data.

    + Add to schedule
    Prerequisites: PSTAT 120A-B; and PSTAT 126 with a minimum grade of C or better.

    4

    Units

    Optional

    Grading

    1, 2, 3

    Passtime

    Graduate students only

    Level Limit

    Letters and science

    College
    Unlocks PSTAT 235 PSTAT 134 PSTAT 135 PSTAT 234
    Instructors
    T B A
    No info found
    Lecture
    TD-W 1701
    T R
    15:30 PM - 16:45 PM
    1 / 25
    Enrollment Trends
    Past Enrollment Trends (9)
    See All
    Spring 2024 . Coburn K M
    NH 1006
    T R
    15:30 PM - 16:45 PM
    Fall 2024 . Baracaldo Lan
    LSB 1001
    T R
    17:00 PM - 18:15 PM
    Grading Trends (32)
    See All
    PSTAT 231 Yu G Fall 2025 Total: 22
    PSTAT 231 Coburn K M Spring 2025 Total: 20
    Other PSTAT 231 Offerings
    See All
    PSTAT 231
    3 / 25 Enrolled
    Introduction to Statistical Machine Learning
    Katie Coburn 3.1
    T R
    15:30 PM - 16:45 PM
    PSTAT 231
    2 / 25 Enrolled
    Introduction to Statistical Machine Learning
    Katie Coburn 3.1
    T R
    17:00 PM - 18:15 PM
    You Might Also Like
    PSTAT 213C
    20 / 30 Enrolled
    Introduction To Probability Theory And Stochastic Processes
    Feldman R
    T
    14:00 PM - 15:50 PM
    PSTAT 220C
    19 / 40 Enrolled
    Advanced Statistical Methods
    Mengyang Michael Gu 3.9
    M W
    09:30 AM - 10:45 AM
    PSTAT 222C
    7 / 10 Enrolled
    Advanced Stochastic Processes
    Alexander Shkolnik 3.7
    M W
    14:00 PM - 15:15 PM
    PSTAT 223C
    5 / 5 Full
    ADVANCED TOPICS IN FINANCIAL MODELING
    Alexander Shkolnik 3.7
    M W
    14:00 PM - 15:15 PM
    PSTAT 230
    9 / 25 Enrolled
    Seminar and Projects in Statistical Consulting
    Yuedong Wang 3.4
    T R
    17:00 PM - 18:15 PM
    PSTAT 232
    22 / 30 Enrolled
    Computational Techniques in Statistics
    Guo Yu 2.8
    T R
    12:30 PM - 13:45 PM