Wolfram U

Machine Learning

Learn about popular machine learning paradigms for classification, regression, clustering and anomaly detection as well as the usefulness of an automated framework that handles everything from feature extraction to performance evaluation. See how you can select pre-trained neural net models from a repository to apply to your own data, customize existing models or build models from scratch with the help of a symbolic framework.

These courses cover many different topics, starting with introductory machine learning concepts and Wolfram Language built-in functions and diving into the complexities of building and training neural networks. Earn course completion certificates and prepare for Wolfram Language Level 1 certification.

Upcoming Events

  • Sep 26 | Online

    Introduction to Machine Learning 

    Gain experience using machine learning superfunctions available in Wolfram Language’s neural network framework. This course demonstrates how to perform supervised and unsupervised machine learning tasks and also covers regression, classification, clustering and anomaly detection.

  • Nov 1–3 | Online

    Wolfram Virtual Technology Conference

    See the newest releases, developments and features in Wolfram Language and the Wolfram technology stack. The virtual conference provides opportunities for in-depth discussions with the Wolfram R&D team, staff and developers; common-interest group meet-ups and pre-conference training workshops.