STAT8056: Statistical Learning and Data Mining

3 Credits

STAT8056 covers a range of emerging topics in machine learning and data science, including high-dimensional analysis, recommender systems, undirected and directed graphical models, feed-forward networks, and unstructured data analysis. This course will introduce various statistical and computational techniques for prediction and inference. These techniques are directly applicable to many fields, such as business, engineering, and bioinformatics. This course requires the basic knowledge of machine learning and data mining (e.g., STAT8053).

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All Instructors

A Average (3.858)Most Common: A (59%)

This total also includes data from semesters with unknown instructors.

44 students
SWFDCBA
  • 4.86

    /5

    Recommend
  • 4.86

    /5

    Effort
  • 4.79

    /5

    Understanding
  • 4.85

    /5

    Interesting
  • 4.71

    /5

    Activities


  • Samyok Nepal

    Website/Infrastructure Lead

  • Kanishk Kacholia

    Backend/Data Lead

  • Joey McIndoo

    Feature Engineering

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