Thanks to our excellent student leads, we have a number of deep dive webinars planned to help prepare participants.
Agenda (subject to some changes as material is developed)
Please note that there will be some overlap with the overview STEMCast. If you are fairly new to Machine Learning, watching the overview STEMCast will help you get more out of this deep dive webinar.
What are recommender systems? (Brief definition and some examples on real use cases)
Recommender systems approaches (Mentioning and explaining them briefly).
Content-based recommender systems
What they are? What types are there? When to use them? And how to use them? Pros and Cons and how we can remedy the cons?)
- Evaluation metrics.
Including an example, a hands on use case to get familiar with the process
Please indicate your availability for a deep dive on on 05/19
We will pick the time that works for most folks.
- Available at 9:30 am PST
- Available at 11 am PST
- Not available but interested