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