Data Science at Home

264 Episoder

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

   Udgivet: 7.8.2018
2. Episode 41: How can deep neural networks reason

   Udgivet: 31.7.2018
3. Episode 40: Deep learning and image compression

   Udgivet: 24.7.2018
4. Episode 39: What is L1-norm and L2-norm?

   Udgivet: 19.7.2018
5. Episode 38: Collective intelligence (Part 2)

   Udgivet: 17.7.2018
6. Episode 38: Collective intelligence (Part 1)

   Udgivet: 12.7.2018
7. Episode 37: Predicting the weather with deep learning

   Udgivet: 9.7.2018
8. Episode 36: The dangers of machine learning and medicine

   Udgivet: 3.7.2018
9. Episode 35: Attacking deep learning models

   Udgivet: 29.6.2018
10. Episode 34: Get ready for AI winter

    Udgivet: 22.6.2018
11. Episode 33: Decentralized Machine Learning and the proof-of-train

    Udgivet: 11.6.2018
12. Episode 32: I am back. I have been building fitchain

    Udgivet: 4.6.2018
13. Founder Interview – Francesco Gadaleta of Fitchain

    Udgivet: 24.5.2018
14. Episode 31: The End of Privacy

    Udgivet: 2.4.2018
15. Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Udgivet: 21.11.2017
16. Episode 29: Fail your AI company in 9 steps

    Udgivet: 11.11.2017
17. Episode 28: Towards Artificial General Intelligence: preliminary talk

    Udgivet: 4.11.2017
18. Episode 27: Techstars accelerator and the culture of fireflies

    Udgivet: 30.10.2017
19. Episode 26: Deep Learning and Alzheimer

    Udgivet: 23.10.2017
20. Episode 25: How to become data scientist [RB]

    Udgivet: 16.10.2017