DS4420 (Advanced Machine Learning) course reviews and ratings at Northeastern (NEU). Average rating 5.0/5. Compare professors with RateMyProfessor reviews.
Covers advanced supervised and unsupervised machine learning concepts. Focuses on mathematical and computational foundations of learning algorithms. Topics may include kernel methods and models appropriate for structured data, including time-series and other sequences. Covers parameter estimation techniques (including Bayesian learning); generative models; and sampling strategies like Markov Chain Monte Carlo methods. May include mathematical proofs and empirical analysis as methods to assess the validity and performance of algorithms. Applies concepts to common problem domains.
Data updated October 2026.