Data Science at Home

268 Avsnitt

1. Episode 46: why do machine learning models fail? (Part 2)

   Publicerades: 2018-09-04
2. Episode 45: why do machine learning models fail?

   Publicerades: 2018-08-28
3. Episode 44: The predictive power of metadata

   Publicerades: 2018-08-21
4. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

   Publicerades: 2018-08-14
5. Episode 42: Attacking deep learning models (rebroadcast)

   Publicerades: 2018-08-07
6. Episode 41: How can deep neural networks reason

   Publicerades: 2018-07-31
7. Episode 40: Deep learning and image compression

   Publicerades: 2018-07-24
8. Episode 39: What is L1-norm and L2-norm?

   Publicerades: 2018-07-19
9. Episode 38: Collective intelligence (Part 2)

   Publicerades: 2018-07-17
10. Episode 38: Collective intelligence (Part 1)

    Publicerades: 2018-07-12
11. Episode 37: Predicting the weather with deep learning

    Publicerades: 2018-07-09
12. Episode 36: The dangers of machine learning and medicine

    Publicerades: 2018-07-03
13. Episode 35: Attacking deep learning models

    Publicerades: 2018-06-29
14. Episode 34: Get ready for AI winter

    Publicerades: 2018-06-22
15. Episode 33: Decentralized Machine Learning and the proof-of-train

    Publicerades: 2018-06-11
16. Episode 32: I am back. I have been building fitchain

    Publicerades: 2018-06-04
17. Founder Interview – Francesco Gadaleta of Fitchain

    Publicerades: 2018-05-24
18. Episode 31: The End of Privacy

    Publicerades: 2018-04-02
19. Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Publicerades: 2017-11-21
20. Episode 29: Fail your AI company in 9 steps

    Publicerades: 2017-11-11