Automated Structure Discovery: Unsupervised Learning: Wolfram U Class

Video shows how to use artificial intelligence and Wolfram Language functions to automatically extract structure from data and analyze it using unsupervised machine learning.

Summary
Wolfram Language has functions that work directly on many types of data and automatically extract some sort of structure from it. Built-in functions used for unsupervised learning tasks include FindClusters, ClusteringTree and ClusteringComponents. You can classify new samples according to the clusters present in the data using ClusterClassify. Other functions like FeatureExtract, FeatureNearest, FeatureSpacePlot and DimensionReduce provide tools for automatic exploration of the data in the feature space. This lesson demonstrates the use of these functions and helps you get started with unsupervised machine learning.

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You'll Learn To

Use built-in functions for unsupervised machine learning
Identify and visualize clusters in data
Classify data based on existing clusters
Explore data in the feature space