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Creating Rich Visualizations to Explore Your Data

Harness the power of Mathematica to interactively visualize your data. This Wolfram Mathematica Virtual Conference 2011 course features a series of examples that show how to create a rich interface for exploring data in depth.

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Learn about the highly automated machine learning framework in the Wolfram Language, including task-oriented functions that can process numeric data, text, images and more. Examples include image search and classification, ...
The Wolfram Language neural network framework provides symbolic building blocks to build, train and tune a network, as well as automatically process input and output using encoders and decoders. Learn ...
Learn about recurrent neural nets and why they are interesting. Find out how you can work with recurrent nets using the neural network framework in the Wolfram Language. See a ...