Skip to content
The Data Exchange

The Data Exchange

  • Twitter
  • Linkedin
  • RSS
  • YouTube
  • Reddit

Data ∪ Machine Learning ∪ AI

  • Home
  • About
  • Subscribe
  • Contact
  • Archive
  • Gradient Flow

Tag: ray

Reinforcement Learning For the Win

The Data Exchange Podcast: Nicolas Hohn on challenges and best practices for using RL and machine learning in the enterprise.

ray, reinforcement learning, transcript

The Future of Machine Learning Lies in Better Abstractions

The Data Exchange Podcast: Travis Addair on how higher levels of abstractions enable non-experts to build efficient machine learning models.

ray, transcript

How Technology Companies Are Using Ray

The Data Exchange Podcast: Zhe Zhang describes how companies are using Ray in large-scale production applications.

ray

Connecting Reinforcement Learning to Simulation Software

The Data Exchange Podcast: Max Pumperla on why he’s bullish on Tune, training data scientists, and contributing to open source.

ray, reinforcement learning

Tools for scaling machine learning

The Data Exchange Podcast: Paco Nathan, Jenn Webb, and Ben Lorica on Ray as a framework for building frameworks, and … More

infrastructure, ray

Building open source developer tools for language applications

The Data Exchange Podcast: Matthew Honnibal on spaCy, Thinc, Prodigy and natural language technologies.

nlp, ray

Improving performance and scalability of data science libraries

The Data Exchange Podcast: Wes McKinney on the importance of having a shared infrastructure for data science.

python, ray

Hyperscaling natural language processing

The Data Exchange Podcast: Edmon Begoli on distributed online learning and its applications in public health.

data-for-good, nlp, ray

Scalable Machine Learning, Scalable Python, For Everyone

The Data Exchange Podcast: Dean Wampler on Ray, distributed systems, and Scala and Python.

open source, python, ray

© Gradient Flow, 2019-present. No part of this site, The Data Exchange podcast, may be reproduced in whole or in part in any manner without the permission of the copyright owner.


 

Loading Comments...