MATH M42DS

MATHETIMATICS FOR MACHINE LEARNING FOR DATA SCIENCE

  • 3 units
  • Prerequisites

Introduces machine learning algorithms with linear algebra for data science. Emphasizes the mathematical foundations of ensemble methods, discriminant analysis, deep learning, and neural networks as well as the ethical use of data. Covers applications of algebraic programming for data science.

Prerequisites

Recommended Prep: MATH M21 or MATH M35