From the makers of Wolfram Language, Mathematica and Wolfram|Alpha
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.

Course Completion Certificates

Introduction to Machine Learning in Wolfram Language

2.50 h

Introduction to Neural Networks in Wolfram Language

2.50 h

Introduction to Image Processing

6 h

Multiparadigm Data Science

5.50 h
See All Completion Certificates

Upcoming Events

  • SEP 9–13 | Online

    Daily Study Group: What Is ChatGPT Doing... and Why Does It Work?

    Find out what's going on inside ChatGPT and explore why it can perform so well at producing meaningful text. Based on a best-selling book by Stephen Wolfram, this Study Group shows examples of how Wolfram|Alpha brings computational knowledge superpowers to ChatGPT.

  • 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.

  • Sep 17 | Online

    Introduction to Neural Networks in Wolfram Language

    This course provides an introduction to the state-of-the-art Neural Net Framework in Wolfram Language. You will learn how to explore the Wolfram Neural Net Repository for pre-built and pre-trained models and how to apply them to your own dataset.

  • 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.

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