Introduction to Machine Learning (Part 1 of 5)

Jan 16, 2024, 2:00 pm4:00 pm
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Princeton students, graduate students, researchers, faculty, and staff


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:…

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.