Data Science at Home

A podcast by Francesco Gadaleta

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254 Episodes

  1. Episode 52: why do machine learning models fail? [RB]

    Published: 17/01/2019
  2. Episode 51: Decentralized machine learning in the data marketplace (part 2)

    Published: 8/01/2019
  3. Episode 50: Decentralized machine learning in the data marketplace

    Published: 26/12/2018
  4. Episode 49: The promises of Artificial Intelligence

    Published: 19/12/2018
  5. Episode 48: Coffee, Machine Learning and Blockchain

    Published: 21/10/2018
  6. Episode 47: Are you ready for AI winter? [Rebroadcast]

    Published: 11/09/2018
  7. Episode 46: why do machine learning models fail? (Part 2)

    Published: 4/09/2018
  8. Episode 45: why do machine learning models fail?

    Published: 28/08/2018
  9. Episode 44: The predictive power of metadata

    Published: 21/08/2018
  10. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

    Published: 14/08/2018
  11. Episode 42: Attacking deep learning models (rebroadcast)

    Published: 7/08/2018
  12. Episode 41: How can deep neural networks reason

    Published: 31/07/2018
  13. Episode 40: Deep learning and image compression

    Published: 24/07/2018
  14. Episode 39: What is L1-norm and L2-norm?

    Published: 19/07/2018
  15. Episode 38: Collective intelligence (Part 2)

    Published: 17/07/2018
  16. Episode 38: Collective intelligence (Part 1)

    Published: 12/07/2018
  17. Episode 37: Predicting the weather with deep learning

    Published: 9/07/2018
  18. Episode 36: The dangers of machine learning and medicine

    Published: 3/07/2018
  19. Episode 35: Attacking deep learning models

    Published: 29/06/2018
  20. Episode 34: Get ready for AI winter

    Published: 22/06/2018

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Artificial Intelligence, algorithms and tech tales that are shaping the world

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