Kevyn Collins-Thompson is an Associate Professor of Information and Computer Science in the School of Information at the University of Michigan. He works on developing algorithms and systems for effectively connecting people with information, especially for educational goals. This involves bringing together methods from applied machine learning, human-computer interaction (HCI), and natural language processing. He also has more than a decade of industry experience as a software engineer, manager, and researcher.
Coursera
Dive into the world of Applied Machine Learning with this hands-on Python course. Learn how to implement machine learning algorithms effectively, understand their practical applications, and harness the power of scikit-learn toolkit for real-world problem-solving.