AIchemy is hosting a one-day training workshop aimed at chemistry researchers who would like to learn the basics of machine learning so that they can apply this to their current research.
You will be introduced to and supported through the fundamentals and hands-on practical sessions on machine learning for chemistry.
The session will combine short presentations with self-paced, hands-on practical modules.
Agenda
Please note that hands-on sessions are self-paced; timings are indicative.
| Time | Session |
|---|---|
| 10:00 | Registration & refreshments |
| 10:15 | Introduction to Machine Learning |
| 11:00 | Hands-on Workshop: Module 1 – Fundamentals |
| 12:00 | Lunch |
| 12:30 | Hands-on Workshop: Module 2 – Supervised Learning Module 3 – Feature Engineering |
| 14:30 | Refreshments break |
| 15:00 | Hands-on Workshop: Module 4 – Unsupervised Learning |
| 16:15 | Wrap-up & any final questions |
| 16:30 | Close |
Requirements
You will need to bring your own laptop to use during the training. No specific software will need to be installed, as all the practical sessions will run within Jupyter Notebooks or via Google Colab, which are easily accessed via an internet browser.
If you need to refresh your Python skills beforehand, we recommend:
Software Carpentry Programming with Python course – a free resource that can be used as a self-led introduction to Python (approx. 8 hours).
Contact details:
For questions about this workshop, please contact the AIchemy project management team at info@aichemy.ac.uk.