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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Apr 26 | Online
Build Custom Neural Networks
This talk introduces the practical steps needed to use or retrain neural networks and the basics of creating your own. No prior knowledge beyond basic coding skills is assumed. Examples include computer vision, sequence prediction and classification.
See Details and RegisterMay 7 | Online
Introduction to Machine Learning in Wolfram Language
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.
See Details and RegisterAug 5–16 | Online
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.