EECE5644 (Introduction to Machine Learning and Pattern Recognition) course reviews and ratings at Northeastern (NEU). Average rating 3.3/5. Compare professors with RateMyProfessor reviews.
Studies machine learning (the study and design of algorithms that enable computers/machines to learn from experience/data). Covers a range of algorithms, focusing on the underlying models between each approach. Emphasizes the foundations to prepare students for research in machine learning. Topics include Bayes decision theory, maximum likelihood parameter estimation, model selection, mixture density estimation, support vector machines, neural networks, probabilistic graphics models, and ensemble methods (boosting and bagging). Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work.
Data updated October 2026.