AAI 6610 — Applied Machine Learning
3 semester hoursGraduateLectureusually offered: fall, springtypical days: WBostonOnlineHybridOnline
Analyzes machine learning techniques, methodologies, and best practices tailored for advanced artificial intelligence applications. Covers advanced supervised and unsupervised learning, deep learning architectures, reinforcement learning, and domain-specific applications. Explores crucial topics of ethics, privacy, and fairness in machine learning.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 2 | 23 | 58 | 40% | 17.5 |
| Spring 2026 | 2 | 17 | 60 | 28% | 21.5 |
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 0% · T 0% · W 73% · Th 0% · F 0%
Common patterns: W (73% of sections), async (28% of sections) — in patterns, R means Thursday
Professors
Fall
- Anton Sinitskiy (74% of students) · reviews
- Frederick Bernardin (26% of students) · reviews
Spring
- Navdeep Singh Dhanjal (71% of students) · reviews
- Zhi He (29% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
AAI 6620, AAI 6630, AAI 6660, AAI 6665, AAI 6710, AAI 6980
Courses that list AAI 6610 in their prerequisites.
Links
Official catalog (AAI course descriptions) · Student reviews on RateMyHusky · All AAI courses · Plan it at numap.app