Data Science at Home

264 Episoder

1. Episode 24: How to handle imbalanced datasets

   Udgivet: 9.10.2017
2. Episode 23: Why do ensemble methods work?

   Udgivet: 3.10.2017
3. Episode 22: Parallelising and distributing Deep Learning

   Udgivet: 25.9.2017
4. Episode 21: Additional optimisation strategies for deep learning

   Udgivet: 18.9.2017
5. Episode 20: How to master optimisation in deep learning

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

   Udgivet: 9.8.2017
7. Episode 18: Machines that learn like humans

   Udgivet: 28.3.2017
8. Episode 17: Protecting privacy and confidentiality in data and communications

   Udgivet: 15.2.2017
9. Episode 16: 2017 Predictions in Data Science

   Udgivet: 23.12.2016
10. Episode 15: Statistical analysis of phenomena that smell like chaos

    Udgivet: 5.12.2016
11. Episode 14: The minimum required by a data scientist

    Udgivet: 27.9.2016
12. Episode 13: Data Science and Fraud Detection at iZettle

    Udgivet: 6.9.2016
13. Episode 12: EU Regulations and the rise of Data Hijackers

    Udgivet: 26.7.2016
14. Episode 11: Representative Subsets For Big Data Learning

    Udgivet: 3.5.2016
15. Episode 10: History and applications of Deep Learning

    Udgivet: 14.3.2016
16. Episode 9: Markov Chain Montecarlo with full conditionals

    Udgivet: 2.3.2016
17. Episode 8: Frequentists and Bayesians

    Udgivet: 15.2.2016
18. Episode 7: 30 min with data scientist Sebastian Raschka

    Udgivet: 15.2.2016
19. Episode 6: How to be data scientist

    Udgivet: 19.1.2016
20. Episode 5: Development and Testing Practices in Data Science

    Udgivet: 13.1.2016