Understanding Polymorphism and Crystallisation Issues in the Pharmaceutical Industry

This course provides a tailored introduction to the application of artificial intelligence (AI) and machine learning (ML) in the field of chemistry, highlighting the use of AI/ML techniques in various areas, from catalysis to materials science. The course offers hands-on practical exercises, with selected code examples in Python, MATLAB, and KNIME workflows, presented in an easy-to-follow online Jupyter Notebook environment. This course is designed for chemists with no prior AI/ML or automation experience and assumes no prior programming knowledge. Participants will gain insights into the key benefits and challenges of applying AI/ML in chemistry and develop skills to utilize these technologies effectively in their research or professional endeavours.


URL:
Website: https://go.evvnt.com/2721387-3?pid=2874

Category: Classes / Courses | Professional Training | Science, Health & Medicine

Speakers: Dr John Studley, Dr Jonathan Moseley