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Machine Learning: Current and Future

As part of the Wolfram Language, we developed efficient yet user-friendly machine learning tools aimed for use at both beginners and experts in the field. These tools include a neural network framework, a repository of pretrained networks and fully automated machine learning functions. In this talk, Etienne Bernard gives an overview of these tools, presents the novelties since Version 12 and discusses our current and future projects in this area.

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Channels: Wolfram Virtual Technology Conference 2020

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