Data Science at Home

263 Odcinki

1. Episode 23: Why do ensemble methods work?

   Opublikowany: 3.10.2017
2. Episode 22: Parallelising and distributing Deep Learning

   Opublikowany: 25.09.2017
3. Episode 21: Additional optimisation strategies for deep learning

   Opublikowany: 18.09.2017
4. Episode 20: How to master optimisation in deep learning

   Opublikowany: 28.08.2017
5. Episode 19: How to completely change your data analytics strategy with deep learning

   Opublikowany: 9.08.2017
6. Episode 18: Machines that learn like humans

   Opublikowany: 28.03.2017
7. Episode 17: Protecting privacy and confidentiality in data and communications

   Opublikowany: 15.02.2017
8. Episode 16: 2017 Predictions in Data Science

   Opublikowany: 23.12.2016
9. Episode 15: Statistical analysis of phenomena that smell like chaos

   Opublikowany: 5.12.2016
10. Episode 14: The minimum required by a data scientist

    Opublikowany: 27.09.2016
11. Episode 13: Data Science and Fraud Detection at iZettle

    Opublikowany: 6.09.2016
12. Episode 12: EU Regulations and the rise of Data Hijackers

    Opublikowany: 26.07.2016
13. Episode 11: Representative Subsets For Big Data Learning

    Opublikowany: 3.05.2016
14. Episode 10: History and applications of Deep Learning

    Opublikowany: 14.03.2016
15. Episode 9: Markov Chain Montecarlo with full conditionals

    Opublikowany: 2.03.2016
16. Episode 8: Frequentists and Bayesians

    Opublikowany: 15.02.2016
17. Episode 7: 30 min with data scientist Sebastian Raschka

    Opublikowany: 15.02.2016
18. Episode 6: How to be data scientist

    Opublikowany: 19.01.2016
19. Episode 5: Development and Testing Practices in Data Science

    Opublikowany: 13.01.2016
20. Episode 1: Predictions in Data Science for 2016

    Opublikowany: 21.12.2015