CSCI5521

CSCI 5521 - Machine Learning Fundamentals (3 Cr.) Online may be available

Computer Science and Engineering Administration (11108) TIOT - College of Science and Engineering

CSCI 5521 - Machine Learning Fundamentals (3 Cr.) Online may be available

Course description

Problem formulations and concepts of generalization, overfitting/under-fitting and model selection. Statistical foundations: maximum likelihood, maximum a posteriori, Expectation Maximization (EM), Bayesian estimation, and non parametric methods. Mathematical foundations and optimization: gradient descent, back propagation, regularization, quadratic programming. Perceptrons, neural networks and deep learning methods. Kernel methods and Support Vector Machines (SVMs). Machine Learning ethics.

prereq: STAT 3021, (CSci 2033 or Math 2142 or Math 4242)

Minimum credits

3

Maximum credits

3

Is this course repeatable?

No

Grading basis

OPT - Student Option

Lecture

Requirements

013022

Typically offered term(s)

Periodic Fall