Talking Machines

En podcast af Tote Bag Productions

Kategorier:

110 Episoder

  1. Software and Statistics for Machine Learning

    Udgivet: 24.3.2016
  2. Machine Learning in Healthcare and The AlphaGo Matches

    Udgivet: 10.3.2016
  3. AI Safety and The Legacy of Bletchley Park

    Udgivet: 25.2.2016
  4. Robotics and Machine Learning Music Videos

    Udgivet: 11.2.2016
  5. OpenAI and Gaussian Processes

    Udgivet: 28.1.2016
  6. Real Human Actions and Women in Machine Learning

    Udgivet: 14.1.2016
  7. Open Source Releases and The End of Season One

    Udgivet: 22.11.2015
  8. Probabilistic Programming and Digital Humanities

    Udgivet: 5.11.2015
  9. Workshops at NIPS and Crowdsourcing in Machine Learning

    Udgivet: 22.10.2015
  10. Machine Learning Mastery and Cancer Clusters

    Udgivet: 8.10.2015
  11. Data from Video Games and The Master Algorithm

    Udgivet: 24.9.2015
  12. Strong AI and Autoencoders

    Udgivet: 10.9.2015
  13. Active Learning and Machine Learning in Neuroscience

    Udgivet: 27.8.2015
  14. Machine Learning in Biology and Getting into Grad School

    Udgivet: 13.8.2015
  15. Machine Learning for Sports and Real Time Predictions

    Udgivet: 30.7.2015
  16. Really Really Big Data and Machine Learning in Business

    Udgivet: 16.7.2015
  17. Solving Intelligence and Machine Learning Fundamentals

    Udgivet: 2.7.2015
  18. Working With Data and Machine Learning in Advertising

    Udgivet: 18.6.2015
  19. The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data

    Udgivet: 4.6.2015
  20. How We Think About Privacy and Finding Features in Black Boxes

    Udgivet: 21.5.2015

5 / 6

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers. Hosted on Acast. See acast.com/privacy for more information.

Visit the podcast's native language site