CS 7140 — Advanced Machine Learning

4 semester hoursGraduateLectureusually offered: springtypical days: M/ThBostonTraditional

Covers topics in advanced machine learning. Presents materials in the current machine learning literature. Focuses on graphical models, latent variable models, Bayesian inference, and nonparametric Bayesian methods. Seeks to prepare students to do research in machine learning. Expects students to read conference and journal articles, present these articles, and write an individual research paper. CS 7140 and EECE 7397 are cross-listed.

Prerequisites

one of:
- CS 6140 (min C-)
- DADS 7275 (min C-)
- EECE 5644 (min C-)
- EECE 7204 (min C-)
- EECE 7313 (min C-)

Offering history

Term	Sections	Enrolled	Capacity	Full	Open seats/section
Spring 2025	1	19	25	76%	6.0
Spring 2026	1	21	29	72%	8.0

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 100% · T 0% · W 48% · Th 53% · F 0%

Common patterns: MR (53% of sections), MW (48% of sections) — in patterns, R means Thursday

Professors

Spring

Hongyang Zhang (100% of students) · reviews

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

CS 6180, DADS 7305

Courses that list CS 7140 in their prerequisites.

Links

Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app