Machine Learning

Machine learning is about developing efficient algorithms that can learn to make accurate decisions by finding patterns in past examples. There are a large number of techniques, but a few underlying principles that make machine learning work well. The applications are wide-ranging and numerous: industry, science, education, medicine, law, and arts all have many opportunities to use learning, and we work on many of them at Baylor.

Faculty Involved

Dr. Greg Hamerly

Dr. Hamerly's research is focused on machine learning, covering efficient and robust clustering, detecting photographic symptoms of disease, quantification of invasive freshwater species, text mining and critical analysis, collaborative learning, and competitive programming.

School of Engineering and Computer Science

School of Engineering
& Computer Science
One Bear Place #97356
Waco, TX 76798-7356
(254) 710-3871