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 2025 Semester
Course Title Instructor Campus Section Syllabus
Foundations of Machine Lrning Ana Stanescu, Ph.D. Distance E01 external Syllabus via Concourse External Resource
Spring 2025 Semester
Course Title Instructor Campus Section Syllabus
Foundations of Machine Lrning Ana Stanescu, Ph.D. Distance E01 external Syllabus via Concourse External Resource