Getting Started with AI: A Beginner's Guide

Explore the basics of supervised and unsupervised machine learning in Wolfram Language using illustrative examples in a range of subjects.

Please note: this event is exclusive to University of Manchester staff, researchers and PGRs. Please register using your university email address.

This talk explains the basics of supervised and unsupervised machine learning in Wolfram Language using illustrative examples in a range of subjects. Specific machine learning topics include classification, prediction, feature extraction and neural networks, as well as pitfalls and pro tips in processing data.

You will be able to practice using Mathematica during the presentation, so we suggest to install the software on your laptop.

Please, see the Applications Support documentation on how to install Mathematica using your University Account: https://www.applications.itservices.manchester.ac.uk/show_product.php?id=38&tab=install

If you haven’t already done so, we invite you to register for our other training session taking place on the same day:

• Wolfram Language for Python Users: https://wolfr.am/1CG2nu0s9