Description

Introduction to the foundational concepts and techniques of machine learning, focusing on hands-on applications of machine learning algorithms in solving real-world problems, concurrently addressing the field's theoretical aspects and ethical implications.

Lecture Hours: 2.00 Lab Hours: 2.00Total Hours: 3.00

Semesters

Fall 2024 Semester
Course Title Instructor Campus Section Syllabus
Foundations of Machine Lrning Ana Stanescu, Ph.D. Distance E01 external Syllabus via Concourse External Resource