FeatureSpacePlot does dimension reduction, taking data that ’s represented by many parameters, and finding a good way to “project ” these down so they can be plotted in 2D.Dendrogram does hierarchical clustering, and can be used to reconstruct evolutionary trees in areas like bioinformatics and historical linguistics.Classify does supervised machine learning, being given a set of training examples. FindClusters does unsupervised machine learning, where the computer just looks at data without being told anything about it.

Classify automatically picks between methods such as logistic regression, naive Bayes, random forests and support vector machines, as well as neural networks.You can get a large standard training set of handwritten digits using ResourceData.This is pretty much always how Classify is used in practice.

If you just give Classify training examples, it ’ll produce a ClassifierFunction that can later be applied to many different pieces of data.

ImageIdentify is the core of what the website does.

BarcodeImage and BarcodeRecognize work with bar codes and QR codes instead of pure text.

The Wolfram Language stores its latest machine learning classifiers in the cloud -but if you ’re using a desktop system, they ’ll automatically be downloaded, and then they ’ll run locally.

Practicalities of Using the Wolfram Language.

Finance, Statistics & Business Analysis.

Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.

Mathematica for machine learning