Data Science at Home

254 Episoder

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

   Publisert: 11.6.2018
2. Episode 32: I am back. I have been building fitchain

   Publisert: 4.6.2018
3. Founder Interview – Francesco Gadaleta of Fitchain

   Publisert: 24.5.2018
4. Episode 31: The End of Privacy

   Publisert: 2.4.2018
5. Episode 30: Neural networks and genetic evolution: an unfeasible approach

   Publisert: 21.11.2017
6. Episode 29: Fail your AI company in 9 steps

   Publisert: 11.11.2017
7. Episode 28: Towards Artificial General Intelligence: preliminary talk

   Publisert: 4.11.2017
8. Episode 27: Techstars accelerator and the culture of fireflies

   Publisert: 30.10.2017
9. Episode 26: Deep Learning and Alzheimer

   Publisert: 23.10.2017
10. Episode 25: How to become data scientist [RB]

    Publisert: 16.10.2017
11. Episode 24: How to handle imbalanced datasets

    Publisert: 9.10.2017
12. Episode 23: Why do ensemble methods work?

    Publisert: 3.10.2017
13. Episode 22: Parallelising and distributing Deep Learning

    Publisert: 25.9.2017
14. Episode 21: Additional optimisation strategies for deep learning

    Publisert: 18.9.2017
15. Episode 20: How to master optimisation in deep learning

    Publisert: 28.8.2017
16. Episode 19: How to completely change your data analytics strategy with deep learning

    Publisert: 9.8.2017
17. Episode 18: Machines that learn like humans

    Publisert: 28.3.2017
18. Episode 17: Protecting privacy and confidentiality in data and communications

    Publisert: 15.2.2017
19. Episode 16: 2017 Predictions in Data Science

    Publisert: 23.12.2016
20. Episode 15: Statistical analysis of phenomena that smell like chaos

    Publisert: 5.12.2016