Publication Date
2016
Course Name
Machine Learning for Data Science
Abstract
Introduction to Machine Learning Techniques for Data Science; mathematical methods;algorithms; application to academia, industry and business problems. Fundamental concepts andterms; methods, tools, and techniques . Supervised and unsupervised learning; identification of learning problems; data sources; analytical approaches; algorithm implementation; interpretationand reporting. Offered annually in the Fall semester.
Recommended Citation
Computer Information Systems, "CIS600" (2016). Curriculum Proposals. 939.
https://digitalcommons.buffalostate.edu/curprop/939
COinS
