• Start Time:
    02:30PM
  • End Time:
    03:00PM
  • Day:
    Day 2

Talk:

As part of the Wolfram Language (a.k.a. Mathematica), we developed efficient yet user-friendly machine learning tools aimed to be used by both beginners and experts in the field. These tools include a symbolic neural network framework, a repository of pre-trained networks, and fully automated machine learning functions. I will give an overview of these tools, live-demonstrate their capabilities, and talk about the technical solutions used under the hood. I will then present some applications we developed using these tools, such as a named-entity recognizer able to identify hundreds of entity type.

Associated Speakers:

Etienne Bernard

Machine Learning Lead Architect

Wolfram

Associated Talks:

02:30PM - Day 2

View Automatic Machine Learning & Symbolic Neural Networks in the Wolfram Language

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