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.
  • 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
Tony Aristeidou
Technical Consultant
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