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 12 | Online
Statistics and Machine Learning: Better Together
Join an interactive and example-driven exploration showcasing the computational capabilities of Wolfram Language in the fields of machine learning and classical statistics. Anyone with a basic knowledge of coding and an interest in the concepts can take the multiparadigm data science toolset and get insight out of nearly any dataset.
See Details and RegisterApr 19 | Online
Big Problems with Big Data: Managing Risks in AI
This talk explores the issues you need to consider in making data-driven decisions. It discusses topics such as when machine learning is appropriate, sources of bias, validation and explainability of models and decision-making criteria.
See Details and RegisterApr 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.