CISC 435 - Machine Learning Fundamentals

(3 semester hours)
Prerequisites: CISC 340 and MATH 250
Description: This course provides a broad introduction to machine learning, statistical pattern recognition, and deep learning. The student gains practical knowledge and skills of machine learning algorithms by tackling real-world problems via programming projects. The lectures will cover linear models, kernel machines, mixture models, neural networks, and deep learning. Offered Fall semester, annually.