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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.
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  • 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
1611592496-704bc3829af72798
Wolfram Events Europe
1668170419-42dd71ecc2b065d6
Jon McLoone
Director of Technical Communication & Strategy
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