310 Avsnitt

  1. Going full bore with Graphcore!

    Publicerades: 2021-04-13
  2. Next-gen voice assistants

    Publicerades: 2021-04-06
  3. Women in Data Science (WiDS)

    Publicerades: 2021-03-30
  4. Recommender systems and high-frequency trading

    Publicerades: 2021-03-23
  5. Deep learning technology for drug discovery

    Publicerades: 2021-03-09
  6. Green AI 🌲

    Publicerades: 2021-03-02
  7. Low code, no code, accelerated code, & failing code

    Publicerades: 2021-02-23
  8. The AI doc will see you now

    Publicerades: 2021-02-16
  9. Cooking up synthetic data with Gretel

    Publicerades: 2021-02-02
  10. The nose knows

    Publicerades: 2021-01-26
  11. Accelerating ML innovation at MLCommons

    Publicerades: 2021-01-19
  12. The $1 trillion dollar ML model 💵

    Publicerades: 2021-01-11
  13. Getting in the Flow with Snorkel AI

    Publicerades: 2020-12-21
  14. Engaging with governments on AI for good

    Publicerades: 2020-12-14
  15. From research to product at Azure AI

    Publicerades: 2020-12-07
  16. The world's largest open library dataset

    Publicerades: 2020-12-01
  17. A casual conversation concerning causal inference

    Publicerades: 2020-11-24
  18. Building a deep learning workstation

    Publicerades: 2020-11-17
  19. Killer developer tools for machine learning

    Publicerades: 2020-11-09
  20. Reinforcement Learning for search

    Publicerades: 2020-10-26

10 / 16

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