Computational Mathematics for Machine Learning
MET CS 550
Undergraduate Prerequisites: Basic knowledge of Python or R; or consent of instructor. - Mathematics is fundamental to data science and machine learning. In this course, you will review essential mathematical concepts and fundamental procedures illustrated by Python and/or R code and visualizations. Computational methods for data science presented through accessible, self-contained examples, intuitive explanations, and visualization will be discussed. Equal emphasis will be placed on both mathematics and computational methods that are at the heart of many algorithms for data analysis and machine learning. You will also advance your mathematical proficiency enabling you to effectively apply your skills to data analytics and machine learning.
FALL 2024 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Pinsky | CDS 263 | T 6:00 pm-8:45 pm |
SPRG 2025 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
A1 | Pinsky | MET 101 | M 6:00 pm-8:45 pm |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.