CS6140 (Machine Learning) course reviews and ratings at Northeastern (NEU). Average rating 3.0/5. Compare professors with RateMyProfessor reviews.
Provides a broad look at a variety of techniques used in machine learning and data mining, and also examines issues associated with their use. Topics include algorithms for supervised learning including decision tree induction, artificial neural networks, instance-based learning, probabilistic methods, and support vector machines; unsupervised learning; and reinforcement learning. Also covers computational learning theory and other methods for analyzing and measuring the performance of learning algorithms. Course work includes a programming term project.
Data updated October 2026.