ST2 Introduction to Machine Learning & AI New
Thu 2 Mar - Fri 3 Mar 2023
Description
The course will be delivered by Lucy Colwell
This course will be delivered in person or via Zoom.
You will be informed closer to the date
This course will focus on recent progress in the application of kernel-based methods, Random Forests and Deep Neural Networks to modelling in chemistry. The material will build on the content of the core Informatics course and introduce new descriptors, advanced modelling techniques and example applications drawn from the current literature. Lectures will be interactive, with students working through computational exercises during class sessions.
Sessions
Number of sessions: 2
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Thu 2 Mar 2023 15:00 - 16:00 | 15:00 - 16:00 | Department of Chemistry, Todd Hamied Room | map | Lucy Colwell |
| 2 | Fri 3 Mar 2023 14:00 - 15:00 | 14:00 - 15:00 | Department of Chemistry, Todd Hamied Room | map | Lucy Colwell |
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Booking / availability