Data Science at Home

264 Episodio

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

   Pubblicato: 07/08/2018
2. Episode 41: How can deep neural networks reason

   Pubblicato: 31/07/2018
3. Episode 40: Deep learning and image compression

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

   Pubblicato: 19/07/2018
5. Episode 38: Collective intelligence (Part 2)

   Pubblicato: 17/07/2018
6. Episode 38: Collective intelligence (Part 1)

   Pubblicato: 12/07/2018
7. Episode 37: Predicting the weather with deep learning

   Pubblicato: 09/07/2018
8. Episode 36: The dangers of machine learning and medicine

   Pubblicato: 03/07/2018
9. Episode 35: Attacking deep learning models

   Pubblicato: 29/06/2018
10. Episode 34: Get ready for AI winter

    Pubblicato: 22/06/2018
11. Episode 33: Decentralized Machine Learning and the proof-of-train

    Pubblicato: 11/06/2018
12. Episode 32: I am back. I have been building fitchain

    Pubblicato: 04/06/2018
13. Founder Interview – Francesco Gadaleta of Fitchain

    Pubblicato: 24/05/2018
14. Episode 31: The End of Privacy

    Pubblicato: 02/04/2018
15. Episode 30: Neural networks and genetic evolution: an unfeasible approach

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

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

    Pubblicato: 04/11/2017
18. Episode 27: Techstars accelerator and the culture of fireflies

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

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

    Pubblicato: 16/10/2017