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New in the Wolfram Language and Mathematica Version 11 Overview

Jon McLoone of Wolfram Technical Communication and Strategy delivers a fast-paced overview of some of the 500+ new functions and thousands of improvements in the latest version of the Wolfram Language and Mathematica.

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Кевин Дейли
Алексей Викторович Порубов
Андрей Александрович Кротких
Галина Михалкина
Кевин Дейли
Микаел Эгибян
Валериян Гайнизаманович Муфтеев
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 ...