MAT 420: Intro to Machine Learning at Borough of Manhattan Community College
3 credits · Spring 2027
Intro to Machine Learning (MAT 420) at Borough of Manhattan Community College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.
The professor is: Oleg Muzician.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Corequisite: MAT 415 Non-Degree Students must seek approval from Math Department in Room N599
About this course
This course is an introduction to machine learning principles and techniques. The mathematics and applications of the following topics will be covered: generalization, point estimation, neural networks with an emphasis on the perceptron and generalizations, non-linear separation, dimension reduction and various supervised algorithms such as K-nearest neighbor. Time permitting, topic models and support vector machines will be discussed.
Professors for MAT 420 at Borough of Manhattan CC, Spring 2027
- Oleg MuzicianChill Rank 4 of 5: Busy?
1 section · 1 open · ★ 3.7 (26) · difficulty 3.4/5 · 47% 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
MAT 420 sections, times and seats
Seat status as of Oct 4, 11:21 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 MAT 420 at Borough of Manhattan CC
- Who teaches MAT 420 at Borough of Manhattan CC in Spring 2027?
- Oleg Muzician is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is MAT 420 at Borough of Manhattan CC hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.4 out of 5. The Chill Rank above compares them directly.
- What if a MAT 420 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.