Data Science at Home

264 Episodo

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

   Publicado: 7/8/2018
2. Episode 41: How can deep neural networks reason

   Publicado: 31/7/2018
3. Episode 40: Deep learning and image compression

   Publicado: 24/7/2018
4. Episode 39: What is L1-norm and L2-norm?

   Publicado: 19/7/2018
5. Episode 38: Collective intelligence (Part 2)

   Publicado: 17/7/2018
6. Episode 38: Collective intelligence (Part 1)

   Publicado: 12/7/2018
7. Episode 37: Predicting the weather with deep learning

   Publicado: 9/7/2018
8. Episode 36: The dangers of machine learning and medicine

   Publicado: 3/7/2018
9. Episode 35: Attacking deep learning models

   Publicado: 29/6/2018
10. Episode 34: Get ready for AI winter

    Publicado: 22/6/2018
11. Episode 33: Decentralized Machine Learning and the proof-of-train

    Publicado: 11/6/2018
12. Episode 32: I am back. I have been building fitchain

    Publicado: 4/6/2018
13. Founder Interview – Francesco Gadaleta of Fitchain

    Publicado: 24/5/2018
14. Episode 31: The End of Privacy

    Publicado: 2/4/2018
15. Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Publicado: 21/11/2017
16. Episode 29: Fail your AI company in 9 steps

    Publicado: 11/11/2017
17. Episode 28: Towards Artificial General Intelligence: preliminary talk

    Publicado: 4/11/2017
18. Episode 27: Techstars accelerator and the culture of fireflies

    Publicado: 30/10/2017
19. Episode 26: Deep Learning and Alzheimer

    Publicado: 23/10/2017
20. Episode 25: How to become data scientist [RB]

    Publicado: 16/10/2017