Talking Machines

Un pódcast de Tote Bag Productions

Categorías:

110 Episodo

  1. Software and Statistics for Machine Learning

    Publicado: 24/3/2016
  2. Machine Learning in Healthcare and The AlphaGo Matches

    Publicado: 10/3/2016
  3. AI Safety and The Legacy of Bletchley Park

    Publicado: 25/2/2016
  4. Robotics and Machine Learning Music Videos

    Publicado: 11/2/2016
  5. OpenAI and Gaussian Processes

    Publicado: 28/1/2016
  6. Real Human Actions and Women in Machine Learning

    Publicado: 14/1/2016
  7. Open Source Releases and The End of Season One

    Publicado: 22/11/2015
  8. Probabilistic Programming and Digital Humanities

    Publicado: 5/11/2015
  9. Workshops at NIPS and Crowdsourcing in Machine Learning

    Publicado: 22/10/2015
  10. Machine Learning Mastery and Cancer Clusters

    Publicado: 8/10/2015
  11. Data from Video Games and The Master Algorithm

    Publicado: 24/9/2015
  12. Strong AI and Autoencoders

    Publicado: 10/9/2015
  13. Active Learning and Machine Learning in Neuroscience

    Publicado: 27/8/2015
  14. Machine Learning in Biology and Getting into Grad School

    Publicado: 13/8/2015
  15. Machine Learning for Sports and Real Time Predictions

    Publicado: 30/7/2015
  16. Really Really Big Data and Machine Learning in Business

    Publicado: 16/7/2015
  17. Solving Intelligence and Machine Learning Fundamentals

    Publicado: 2/7/2015
  18. Working With Data and Machine Learning in Advertising

    Publicado: 18/6/2015
  19. The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data

    Publicado: 4/6/2015
  20. How We Think About Privacy and Finding Features in Black Boxes

    Publicado: 21/5/2015

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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.

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