Supervised and Unsupervised Learning

Learn how basic supervised and unsupervised learning tasks can be accomplished with the Wolfram Language. This webinar will show you how to use automated superfunctions like Predict and Classify to build your own models from labeled training data. In the absence of labeled data, functions like LearnDistribution and FindClusters can be used to automatically discover underlying structures in your data. FindAnomalies and DeleteAnomalies can be used to detect anomalies and remove them from the data. Functions like FeatureExtraction, DimensionReduction and FeatureSpacePlot, which provide great tools to explore your data in the feature space, will also be covered.