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
f072a1c5021c
Agenda
Overview of machine learning
Supervised learning: classification and prediction
Unsupervised learning: feature extraction, clustering and neural networks
Techniques to deal with pitfalls: unbalanced data and misclassification penalization
Duration: 1 hour 30 minutes
Presenters
Wolfram Events Europe
Xiaofan Zhang
Wolfram Certified Instructor and Technical Consultant