Statistical Pattern Recognition (CS-0136)
Fall 2025 · CS 0136 · Tufts University · 3 credits · Undergraduate
Statistical foundations and algorithms for machine learning with a focus on Bayesian modeling. Topics include: classification and regression problems, regularization, model selection, kernel methods, support vector machines, Gaussian processes, graphical models. Recommendations: MATH 70 or 72, EE 104 or MATH 165, and CS 40 or CS 105, or graduate standing
Course codes: CS-0136, CS 0136, CS0136, CS-136, CS 136, CS136
- 01-LEC (Lecture) — Michael C. Hughes