Data Science at Home

254 Episodes

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

   Published: 11/06/2018
2. Episode 32: I am back. I have been building fitchain

   Published: 4/06/2018
3. Founder Interview – Francesco Gadaleta of Fitchain

   Published: 24/05/2018
4. Episode 31: The End of Privacy

   Published: 2/04/2018
5. Episode 30: Neural networks and genetic evolution: an unfeasible approach

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

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

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

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

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

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

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

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

    Published: 25/09/2017
14. Episode 21: Additional optimisation strategies for deep learning

    Published: 18/09/2017
15. Episode 20: How to master optimisation in deep learning

    Published: 28/08/2017
16. Episode 19: How to completely change your data analytics strategy with deep learning

    Published: 9/08/2017
17. Episode 18: Machines that learn like humans

    Published: 28/03/2017
18. Episode 17: Protecting privacy and confidentiality in data and communications

    Published: 15/02/2017
19. Episode 16: 2017 Predictions in Data Science

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

    Published: 5/12/2016