- Semester
- Summer 2024
- Instructor
- Sriniwas Pandey
- Start Date
- 05-28-2024
- Total Credits
- 4
- Call to Register
- 607-777-6088
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
This course provides a broad introduction to machine learning and its applications. Major topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, support vector machines); computational learning theory (bias/variance tradeoffs, VC theory, large margins); unsupervised learning; semi-supervised learning; reinforcement learning. The course will give students the basic ideas and intuition behind different techniques as well as a more formal understanding of how and why they work. The course will also discuss recent applications of machine learning, such as to data mining, bioinformatics, and information retrieval.
Course Area: Computer Science
Level: Upper Level Undergraduate
Dates: 05-28-2024 - 07-01-2024
- Find books for your online class
- Instructor: Sriniwas Pandey
- Local Course ID: 24SU_BIN_CS436_01
- 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.