This webinar explains the basics of supervised and unsupervised machine learning in the 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
Wolfram Webinar Team
Daniel Robinson
Wolfram Certified Instructor