Data Science at Home

254 Episodo

1. Episode 33: Decentralized Machine Learning and the proof-of-train

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

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

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

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

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

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

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

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

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

    Publicado: 16/10/2017
11. Episode 24: How to handle imbalanced datasets

    Publicado: 9/10/2017
12. Episode 23: Why do ensemble methods work?

    Publicado: 3/10/2017
13. Episode 22: Parallelising and distributing Deep Learning

    Publicado: 25/9/2017
14. Episode 21: Additional optimisation strategies for deep learning

    Publicado: 18/9/2017
15. Episode 20: How to master optimisation in deep learning

    Publicado: 28/8/2017
16. Episode 19: How to completely change your data analytics strategy with deep learning

    Publicado: 9/8/2017
17. Episode 18: Machines that learn like humans

    Publicado: 28/3/2017
18. Episode 17: Protecting privacy and confidentiality in data and communications

    Publicado: 15/2/2017
19. Episode 16: 2017 Predictions in Data Science

    Publicado: 23/12/2016
20. Episode 15: Statistical analysis of phenomena that smell like chaos

    Publicado: 5/12/2016