Data Science at Home

268 Odcinki

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

   Opublikowany: 4.09.2018
2. Episode 45: why do machine learning models fail?

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

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

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

   Opublikowany: 7.08.2018
6. Episode 41: How can deep neural networks reason

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

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

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

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

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

    Opublikowany: 9.07.2018
12. Episode 36: The dangers of machine learning and medicine

    Opublikowany: 3.07.2018
13. Episode 35: Attacking deep learning models

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

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

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

    Opublikowany: 4.06.2018
17. Founder Interview – Francesco Gadaleta of Fitchain

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

    Opublikowany: 2.04.2018
19. Episode 30: Neural networks and genetic evolution: an unfeasible approach

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

    Opublikowany: 11.11.2017