Course Description
Designed for beginners, this Python-based course provides a solid foundation in both traditional machine learning techniques and cutting-edge deep learning technologies using Scikit-Learn, Keras, and TensorFlow. Participants have an opportunity to gain hands-on experience with Python programming language, learning how to implement various algorithms and models for machine learning and deep learning applications. By the end of the course, instructors provide students with essential tools and skills necessary to embark on a journey into the exciting realms of machine and deep learning using Python.
Units: 4
Credit - Degree Applicable Transferable to both UC and CSU
Course Details
- Grade Options: Pass/No Pass, Letter Grade
- In-Class Lecture Hours: 48 – 54
- In-Class Lab Hours: 48 – 54
Requisites and Advisories
- Prerequisites: CIST 005A
- Co-Requisites: None
- Advisory: CIST 005B
Transfer Details
- CSU/UC:
Transferable to both UC and CSU