Data Science at Home

268 Episoade

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

   Publicat: 04.09.2018
2. Episode 45: why do machine learning models fail?

   Publicat: 28.08.2018
3. Episode 44: The predictive power of metadata

   Publicat: 21.08.2018
4. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

   Publicat: 14.08.2018
5. Episode 42: Attacking deep learning models (rebroadcast)

   Publicat: 07.08.2018
6. Episode 41: How can deep neural networks reason

   Publicat: 31.07.2018
7. Episode 40: Deep learning and image compression

   Publicat: 24.07.2018
8. Episode 39: What is L1-norm and L2-norm?

   Publicat: 19.07.2018
9. Episode 38: Collective intelligence (Part 2)

   Publicat: 17.07.2018
10. Episode 38: Collective intelligence (Part 1)

    Publicat: 12.07.2018
11. Episode 37: Predicting the weather with deep learning

    Publicat: 09.07.2018
12. Episode 36: The dangers of machine learning and medicine

    Publicat: 03.07.2018
13. Episode 35: Attacking deep learning models

    Publicat: 29.06.2018
14. Episode 34: Get ready for AI winter

    Publicat: 22.06.2018
15. Episode 33: Decentralized Machine Learning and the proof-of-train

    Publicat: 11.06.2018
16. Episode 32: I am back. I have been building fitchain

    Publicat: 04.06.2018
17. Founder Interview – Francesco Gadaleta of Fitchain

    Publicat: 24.05.2018
18. Episode 31: The End of Privacy

    Publicat: 02.04.2018
19. Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Publicat: 21.11.2017
20. Episode 29: Fail your AI company in 9 steps

    Publicat: 11.11.2017