Futures: Python and Mathematics for Machine Learning
CSE-90162
Be introduced to the mathematics and programming skills needed to implement and analyze standard and advanced Machine Learning algorithms.
To maximize productivity, the Machine Learning Engineer must be fluent in the foundational mathematics and programming constructs required to implement complex models, and this course provides a focused introduction to both. High schoool students completing this first course in the Machine Learning certificate program will be prepared for the subsequent courses in the series and gain a working knowledge of the math concepts and Python programming skills needed to implement and analyze standard and advanced Machine Learning algorithms.
What You Will Learn
- Google Colaboratory Integrated Development Environment
- Applications of Python Data types, Conditional operators, Loops, Functions, Data structures, Recursion, OOP, and Machine Learning libraries
- Probability and Statistics for Machine Learning
- Linear Algebra for Machine Learning
- Calculus for Machine Learning
- Python-based projects focused on applied mathematics for Machine Learning
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
Python and Math Essentials for Machine Learning - a Beginner’s Guide 1st
by Mauro, Anthony
ISBN / ASIN: 9798350960624
You may purchase textbooks via the UC San Diego Bookstore.
Policies:
- No refunds after: 6/2/2025
- Early enrollment advised
- No UCSD parking permit required
- No visitors permitted
- Pre-enrollment required
Schedule:
Instructor:
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Anthony Mauro