Getting Started with AI: A Beginner's Guide to Automated Classification, Predictions and Computer Vision

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About This Webinar

This webinar explains the basics of supervised and unsupervised machine learning in Wolfram Language using illustrative examples in a range of subjects. Specific machine-learning topics include classification, prediction, feature extraction and neural networks, as well as pitfalls and pro tips in processing data.

Webinar ID

b3f1c6f941b7

Agenda

Overview of machine learning
Supervised learning: classification and prediction
Unsupervised learning: feature extraction, clustering and neural networks
Techniques to pitfalls: unbalanced data and misclassification penalization

Presenters

Wolfram Events Europe

Jon McLoone

Director of Technical Communication & Strategy

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