Damek Davis

Damek Davis
  • Associate Professor of Statistics and Data Science

Contact Information

  • office Address:

    319 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Teaching

Current Courses

  • STAT4830 - Numerical Optimization For Data Science And Machine Learning

    Optimization is the modeling language in which modern data science, machine learning, and sequential decision-making problems are formulated and solved numerically. This course will teach students how to formulate these problems mathematically, choose appropriate algorithms to solve them, and implement and tune the algorithms in the software PyTorch. PyTorch is a freely available machine learning library is recognized as one of the two most popular machine learning libraries alongside TensorFlow. By the end of the course, students will become an intelligent consumer of numerical methods and software for solving modern optimization problems.

    STAT4830001 ( Syllabus )

    STAT4830002 ( Syllabus )

Past Courses

  • STAT4830 - Optimization for Data Sci & ML

    Optimization is the modeling language in which modern data science, machine learning, and sequential decision-making problems are formulated and solved numerically. This course will teach students how to formulate these problems mathematically, choose appropriate algorithms to solve them, and implement and tune the algorithms in the software PyTorch. PyTorch is a freely available machine learning library is recognized as one of the two most popular machine learning libraries alongside TensorFlow. By the end of the course, students will become an intelligent consumer of numerical methods and software for solving modern optimization problems.

Activity

In the News

Embracing AI: Are You a Doomer, Gloomer, Zoomer, or Bloomer?

LinkedIn co-founder Reid Hoffman recently spoke at Wharton about the four ways people relate to AI, and why everyone will need to participate in our AI-powered future. Read More

Knowledge @ Wharton - 2025/02/4
All News