CIMA 136 - INTRODUCTION TO MACHINE LEARNING

    Recent Professors
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    Recent Semesters
    Fall 2026
    Class Size
    45 students
    Credits
    3
    Fall 2026 Sections
    View Fall 2026 sections of CIMA 136
    Transfers To
    Not transferable
    Description
    Combining data, computation, and inferential thinking, data science redefines how people and organizations solve challenging problems and understand their world. We explore key areas of data science, including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision-making. These include languages for transforming, querying, and analyzing data; algorithms for machine learning methods, including regression, classification, and clustering; statistical concepts of measurement error and prediction; and salable data processing techniques.