Wolfram U

Machine Learning & LLMs

Machine learning, neural networks and large language models (LLMs) are important components of modern AI systems. Learn about popular machine learning paradigms for classification, regression, clustering and anomaly detection with the help of fully automated and customizable functions that handle 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 neural net framework. Make use of Chat Notebooks as well as powerful built-in functions for calling LLM functionality and allowing LLMs to access Wolfram Language tools.

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

  • Aug 5–16 | Online

    Wolfram Data Science Boot Camp

    Learn how to leverage the capabilities of Wolfram Language to deliver world-class data science results in this two-week online boot camp. Interact with experts on machine learning, generative AI, dynamic visualization, automated reporting and notebook-based interactive workflows.

  • Aug 6 | Online

    Statistics and Machine Learning: Better Together

    This example-driven exploration showcases how the symbolic nature of Wolfram Language makes the handling of statistical distributions simple, how automation makes machine learning accessible and how the two fields together can utilize powerful and flexible tools.

  • Sep 10 | Online

    Introduction to Machine Learning in Wolfram Language

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

  • Oct 16–18 | Online

    Wolfram Virtual Technology Conference

    The Wolfram Virtual Technology Conference brings together the best and brightest technological innovators from multiple disciplines. Sign up to attend pre-conference training sessions, conference presentations, topical “meet-ups” and scheduled networking events.