Tools for Navigating AI/ML in the Real World | New York City
About this event
With this new activity the tools and ecosystem around deep learning are being stretched beyond their original academic roots. This talk will focus on where the tools are going, and how to build reproducible and robust machine learning pipelines with open source tools and frameworks.
Takeaways
The machine learning landscape has shifted dramatically as artificial/deep neural networks have become the technique of choice, solving a wide variety of previously difficult problems in machine intelligence. As a result engineers, data scientists and researchers everywhere are learning how to build these networks and are applying them to new products and domains.
