Practical AI: Machine Learning, Data Science

Un pódcast de Changelog Media

Categorías:

275 Episodo

  1. Operationalizing ML/AI with MemSQL

    Publicado: 29/6/2020
  2. Roles to play in the AI dev workflow

    Publicado: 22/6/2020
  3. The long road to AGI

    Publicado: 15/6/2020
  4. Explaining AI explainability

    Publicado: 8/6/2020
  5. Exploring NVIDIA's Ampere & the A100 GPU

    Publicado: 26/5/2020
  6. AI for Good: clean water access in Africa

    Publicado: 11/5/2020
  7. Ask us anything (about AI)

    Publicado: 4/5/2020
  8. Reinforcement learning for chip design

    Publicado: 27/4/2020
  9. Exploring the COVID-19 Open Research Dataset

    Publicado: 20/4/2020
  10. Achieving provably beneficial, human-compatible AI

    Publicado: 13/4/2020
  11. COVID-19 Q&A and CORD-19

    Publicado: 6/4/2020
  12. Mapping the intersection of AI and GIS

    Publicado: 30/3/2020
  13. Welcome to Practical AI

    Publicado: 25/3/2020
  14. Speech recognition to say it just right

    Publicado: 23/3/2020
  15. Building a career in Data Science

    Publicado: 16/3/2020
  16. What exactly is "data science" these days?

    Publicado: 9/3/2020
  17. TensorFlow in the cloud

    Publicado: 2/3/2020
  18. NLP for the world's 7000+ languages

    Publicado: 24/2/2020
  19. Real-time conversational insights from Signal AI's NLP

    Publicado: 17/2/2020
  20. AI-powered scientific exploration and discovery

    Publicado: 10/2/2020

10 / 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