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
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MAR 10 | 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.
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Mar 19 | Online
Engineering Computation with Wolfram Language
Find out how to leverage our ready-to-use automated machine learning framework and signal processing tools to elevate your engineering workflows. This webinar showcases integrated modeling, design and deployment workflows offered by Wolfram Language for researchers, professionals and students.
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Apr 28 | Online
Wolfram Language and LLMs
Wolfram technology has long been a component of intelligent assistants and AI systems. Learn about the latest tools and use the newly expanded Wolfram GPT, Chat Notebooks, LLM-based functions and built-in AI functionality in Wolfram Language. Wolfram makes LLMs smarter by giving them access to powerful computation, accurate math, curated knowledge, real-time data and visualization.
