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  • PSTAT 131

    • Introduction to Statistical Machine Learning . PSTAT 131

    Statistical Machine Learning is used to discover patterns and relationships in large data sets. Topics will include: data exploration, classification and regression tress, 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, 2

    Passtime

    None

    Level Limit

    Letters and science

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    Lecture

    LSB 1001
    T R
    17:00 PM - 18:15 PM
    80 / 80 Full
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    PSTAT 131 Coburn K M Spring 2024 Total: 96
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    PSTAT 131
    80 / 80 Full
    Introduction to Statistical Machine Learning
    Laura Baracaldo 1.6
    T R
    17:00 PM - 18:15 PM
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