Data Science at Home

Ein Podcast von Francesco Gadaleta

Kategorien:

264 Folgen

  1. Episode 42: Attacking deep learning models (rebroadcast)

    Vom: 7.8.2018
  2. Episode 41: How can deep neural networks reason

    Vom: 31.7.2018
  3. Episode 40: Deep learning and image compression

    Vom: 24.7.2018
  4. Episode 39: What is L1-norm and L2-norm?

    Vom: 19.7.2018
  5. Episode 38: Collective intelligence (Part 2)

    Vom: 17.7.2018
  6. Episode 38: Collective intelligence (Part 1)

    Vom: 12.7.2018
  7. Episode 37: Predicting the weather with deep learning

    Vom: 9.7.2018
  8. Episode 36: The dangers of machine learning and medicine

    Vom: 3.7.2018
  9. Episode 35: Attacking deep learning models

    Vom: 29.6.2018
  10. Episode 34: Get ready for AI winter

    Vom: 22.6.2018
  11. Episode 33: Decentralized Machine Learning and the proof-of-train

    Vom: 11.6.2018
  12. Episode 32: I am back. I have been building fitchain

    Vom: 4.6.2018
  13. Founder Interview – Francesco Gadaleta of Fitchain

    Vom: 24.5.2018
  14. Episode 31: The End of Privacy

    Vom: 2.4.2018
  15. Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Vom: 21.11.2017
  16. Episode 29: Fail your AI company in 9 steps

    Vom: 11.11.2017
  17. Episode 28: Towards Artificial General Intelligence: preliminary talk

    Vom: 4.11.2017
  18. Episode 27: Techstars accelerator and the culture of fireflies

    Vom: 30.10.2017
  19. Episode 26: Deep Learning and Alzheimer

    Vom: 23.10.2017
  20. Episode 25: How to become data scientist [RB]

    Vom: 16.10.2017

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Artificial Intelligence, algorithms and tech tales that are shaping the world. Hype not included.

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