Date Jan 16, 2024, 2:00 pm – 4:00 pm Location RSVP on My PrincetonU to see location Audience Princeton students, graduate students, researchers, faculty, and staff Related link More details in My PrincetonU Details Event Description This mini-course provides a comprehensive introduction to machine learning. Part 1 introduces the machine learning process and shows participants how to train simple models. Part 2 covers model evaluation and refinement. Artificial neural networks are introduced in Part 3. A survey of different neural network architectures is presented in Part 4. The mini-course concludes with a hackathon during Part 5 where participants will work on a small, end-to-end machine learning project chosen from one of multiple domains (e.g., computer vision, natural language processing). Meet the Facilitators: Gage DeZoort is Postdoctoral Research Associate and lecturer in Physics. Julian Gold is a DataX Data Scientist in Computer Science. Jake Snell is DataX Postdoctoral Research Associate in Computer Science. Read an article about the mini-course from 2023: https://csml.princeton.edu/news/wintersession-mini-course-gives-taste-m… What to Expect: Multi Session To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.
