Practical AI: Machine Learning, Data Science

A podcast by Changelog Media

Categories:

275 Episodes

  1. The world's largest open library dataset

    Published: 1/12/2020
  2. A casual conversation concerning causal inference

    Published: 24/11/2020
  3. Building a deep learning workstation

    Published: 17/11/2020
  4. Killer developer tools for machine learning

    Published: 9/11/2020
  5. Reinforcement Learning for search

    Published: 26/10/2020
  6. When data leakage turns into a flood of trouble

    Published: 20/10/2020
  7. Productionizing AI at LinkedIn

    Published: 13/10/2020
  8. R, Data Science, & Computational Biology

    Published: 6/10/2020
  9. Learning about (Deep) Learning

    Published: 21/09/2020
  10. When AI goes wrong

    Published: 14/09/2020
  11. Speech tech and Common Voice at Mozilla

    Published: 9/09/2020
  12. Getting Waymo into autonomous driving

    Published: 1/09/2020
  13. Hidden Door and so much more

    Published: 24/08/2020
  14. Building the world's most popular data science platform

    Published: 17/08/2020
  15. Practical AI turns 100!!! 🎉

    Published: 11/08/2020
  16. Attack of the C̶l̶o̶n̶e̶s̶ Text!

    Published: 3/08/2020
  17. 🤗 All things transformers with Hugging Face

    Published: 27/07/2020
  18. MLOps and tracking experiments with Allegro AI

    Published: 20/07/2020
  19. Practical AI Ethics

    Published: 14/07/2020
  20. The ins and outs of open source for AI

    Published: 7/07/2020

9 / 14

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!

Visit the podcast's native language site