
Introduction to Machine Learning
CSE-474LEC-S
University at Buffalo
- Semester
- Summer 2025
- Instructor
- Nitin Vishal Kulkarni
- Start Date
- 05-27-2025
- Total Credits
- 3
- Call to Register
- 716-645-5698
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning. Category: Artificial Intelligence.
Prerequisites:
CSE 250 and (EAS 305 or EE 305 or CIE 308 or MTH 411 or STA 301 and STA 301REC) and MTH 309.Computer Science, Computer Engineering, or Bioinformatics majors only
Course Area: Computer Science
Level: Upper Level Undergraduate
Dates: 05-27-2025 - 07-07-2025
- Find books for your online class
- Instructor: Nitin Vishal Kulkarni
- Local Course ID: 25SU_BUF_CSE474_LECS
- Books & Supplies
-
How to Register for an Online Course
Let's put your mind at ease about online learning
-
- Search
- Search for an online course by keyword, semester, campus, area, or a combination of each.
-
- Select Course
- Select a course from the results list that fits your needs.
-
- Visit College Website
- Click “register now” to visit the college website to register as a “non-credit” or “non-matriculated” student if you are not enrolled at the campus.
-
- Contact Registrar
- Contact the registrar’s office or enrollment office to register for the course. Make sure you have the course name and course ID when you register.
-
- Transfer Credits
- If you plan to transfer credit for the course, make sure you have reviewed the course with the advisor at your current college to ensure the credits will transfer to your degree program.
-
- Locate Course Materials
- Once you register for the course, visit the campus bookstore to find the books and materials for the course. You will need the course ID to find the books.