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  • 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.

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

    4

    Units

    Optional

    Grading

    1

    Passtime

    None

    Level Limit

    Letters and science

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    Lecture
    ILP 2302
    M W
    12:30 PM - 13:45 PM
    2 / 20
    Sections
    GIRV 2123
    R
    08:00 AM - 08:50 AM
    0 / 5
    ILP 3312
    R
    09:00 AM - 09:50 AM
    0 / 5
    ILP 4107
    R
    10:00 AM - 10:50 AM
    0 / 5
    ILP 4207
    R
    11:00 AM - 11:50 AM
    2 / 5
    Enrollment Trends
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    Winter 2025 . Yu G
    BUCHN1930
    T R
    12:30 PM - 13:45 PM
    Winter 2025 . Yu G
    BUCHN1930
    T R
    11:00 AM - 12:15 PM
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    PSTAT 231 Yu G Winter 2025 Total: 5
    PSTAT 231 Yu G Fall 2022 Total: 5
    Other PSTAT 231 Offerings
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    PSTAT 231
    7 / 20 Enrolled
    Introduction to Statistical Machine Learning
    Guo Yu 2.9
    M W
    11:00 AM - 12:15 PM
    77.4% A
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