Computational Mathematics for Machine Learning


Computational Mathematics for Machine Learning

MET CS 550 (4 credits)

Mathematics is fundamental to data science and machine learning. This course reviews essential mathematical concepts and procedures which are fundamental. These concepts are illustrated by Python and/or R code and by many visualizations. This course discusses mathematical concepts and computational methods for data science using simple self-contained examples, intuition and visualization. These examples will help develop intuitive explanations behind mathematical concepts. Extensive visualizations will be used to illustrate core mathematical concepts. The emphasis is both on mathematics and computational algorithms that are at the heart of many algorithms for data analysis and machine learning. This course will advance students mathematical skills that can be used effectively in data analytics and machine learning. Prerequisite: Basic knowledge of Python or R. Or instructor's consent.

2022FALLMETCS550 A1, Sep 6th to Dec 6th 2022

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM EPC 204

2023SPRGMETCS550 A1, Jan 23rd to May 1st 2023

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM EPC 209

Format & Syllabus: