Practical AI: Machine Learning, Data Science

En podkast av Changelog Media

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275 Episoder

  1. AutoML and AI at Google

    Publisert: 9.9.2019
  2. On being humAIn

    Publisert: 26.8.2019
  3. Serving deep learning models with RedisAI

    Publisert: 12.8.2019
  4. AI-driven studies of the ancient world and good GANs

    Publisert: 30.7.2019
  5. AI code that facilitates good science

    Publisert: 19.7.2019
  6. Celebrating episode 50 and the neural net!

    Publisert: 3.7.2019
  7. Exposing the deception of DeepFakes

    Publisert: 25.6.2019
  8. Model inspection and interpretation at Seldon

    Publisert: 17.6.2019
  9. GANs, RL, and transfer learning oh my!

    Publisert: 11.6.2019
  10. Visualizing and understanding RNNs

    Publisert: 4.6.2019
  11. How to get plugged into the AI community

    Publisert: 28.5.2019
  12. AI adoption in the enterprise

    Publisert: 21.5.2019
  13. When AI meets quantum mechanics

    Publisert: 14.5.2019
  14. TensorFlow Dev Summit 2019

    Publisert: 7.5.2019
  15. CTRL-labs lets you control machines with your mind

    Publisert: 30.4.2019
  16. Deep Reinforcement Learning

    Publisert: 23.4.2019
  17. Making the world a better place at the AI for Good Foundation

    Publisert: 15.4.2019
  18. GIPHY's celebrity detector

    Publisert: 8.4.2019
  19. The landscape of AI infrastructure

    Publisert: 2.4.2019
  20. Growing up to become a world-class AI expert

    Publisert: 25.3.2019

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Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

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