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.
Machine Learning Lead Architect
02:30PM - Day 2