MTH 4330: Introduction to Machine Learni at Baruch College
4 credits · Fall 2026
Introduction to Machine Learni (MTH 4330) at Baruch College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Kisung You.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prerequisite: Three courses, one from each of the following groups (or departmental permission): 1) MTH 3300 or CIS 2300; 2) MTH 2600, 2610, 2630, 3006, or 3010); and 3) MTH 3210 or MTH 4100)Prerequisite: MTH 3300; and either MTH 3120 or MTH 4120
About this course
This course provides an introduction to Machine Learning, where students will learn both theory and application of this subject. Students will get exposure to a broad range of machine learning methods and hands-on practice with real data. Topics include linear and logistic regression, support vector machines, decision trees, dimensionality reduction, unsupervised learning, and neural networks.
Professors for MTH 4330 at Baruch, Fall 2026
- Kisung YouChill Rank 3 of 5: Fair?
1 section · 1 open · ★ 4.5 (10) · difficulty 3.8/5 · 82% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
MTH 4330 sections, times and seats
Seat status as of Oct 4, 5:41 PM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
Questions about MTH 4330 at Baruch
- Who teaches MTH 4330 at Baruch in Fall 2026?
- Kisung You is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is MTH 4330 at Baruch hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.8 out of 5. The Chill Rank above compares them directly.
- What if a MTH 4330 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.