Practical AI: Machine Learning, Data Science

En podkast av Changelog Media

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275 Episoder

  1. The world's largest open library dataset

    Publisert: 1.12.2020
  2. A casual conversation concerning causal inference

    Publisert: 24.11.2020
  3. Building a deep learning workstation

    Publisert: 17.11.2020
  4. Killer developer tools for machine learning

    Publisert: 9.11.2020
  5. Reinforcement Learning for search

    Publisert: 26.10.2020
  6. When data leakage turns into a flood of trouble

    Publisert: 20.10.2020
  7. Productionizing AI at LinkedIn

    Publisert: 13.10.2020
  8. R, Data Science, & Computational Biology

    Publisert: 6.10.2020
  9. Learning about (Deep) Learning

    Publisert: 21.9.2020
  10. When AI goes wrong

    Publisert: 14.9.2020
  11. Speech tech and Common Voice at Mozilla

    Publisert: 9.9.2020
  12. Getting Waymo into autonomous driving

    Publisert: 1.9.2020
  13. Hidden Door and so much more

    Publisert: 24.8.2020
  14. Building the world's most popular data science platform

    Publisert: 17.8.2020
  15. Practical AI turns 100!!! 🎉

    Publisert: 11.8.2020
  16. Attack of the C̶l̶o̶n̶e̶s̶ Text!

    Publisert: 3.8.2020
  17. 🤗 All things transformers with Hugging Face

    Publisert: 27.7.2020
  18. MLOps and tracking experiments with Allegro AI

    Publisert: 20.7.2020
  19. Practical AI Ethics

    Publisert: 14.7.2020
  20. The ins and outs of open source for AI

    Publisert: 7.7.2020

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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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