Chemistry: ST2 CDT Introduction to Machine Learning and Artificial Intelligence New
Unscheduled instructor led
Description
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.
Target audience
- Syntech CDT postgraduates
- Chemistry postgraduates
- Further details regarding eligibility criteria are available
Duration
- One session of three hours
Themes
Booking / availability