Data Science at Home

268 Avsnitt

1. Episode 28: Towards Artificial General Intelligence: preliminary talk

   Publicerades: 2017-11-04
2. Episode 27: Techstars accelerator and the culture of fireflies

   Publicerades: 2017-10-30
3. Episode 26: Deep Learning and Alzheimer

   Publicerades: 2017-10-23
4. Episode 25: How to become data scientist [RB]

   Publicerades: 2017-10-16
5. Episode 24: How to handle imbalanced datasets

   Publicerades: 2017-10-09
6. Episode 23: Why do ensemble methods work?

   Publicerades: 2017-10-03
7. Episode 22: Parallelising and distributing Deep Learning

   Publicerades: 2017-09-25
8. Episode 21: Additional optimisation strategies for deep learning

   Publicerades: 2017-09-18
9. Episode 20: How to master optimisation in deep learning

   Publicerades: 2017-08-28
10. Episode 19: How to completely change your data analytics strategy with deep learning

    Publicerades: 2017-08-09
11. Episode 18: Machines that learn like humans

    Publicerades: 2017-03-28
12. Episode 17: Protecting privacy and confidentiality in data and communications

    Publicerades: 2017-02-15
13. Episode 16: 2017 Predictions in Data Science

    Publicerades: 2016-12-23
14. Episode 15: Statistical analysis of phenomena that smell like chaos

    Publicerades: 2016-12-05
15. Episode 14: The minimum required by a data scientist

    Publicerades: 2016-09-27
16. Episode 13: Data Science and Fraud Detection at iZettle

    Publicerades: 2016-09-06
17. Episode 12: EU Regulations and the rise of Data Hijackers

    Publicerades: 2016-07-26
18. Episode 11: Representative Subsets For Big Data Learning

    Publicerades: 2016-05-03
19. Episode 10: History and applications of Deep Learning

    Publicerades: 2016-03-14
20. Episode 9: Markov Chain Montecarlo with full conditionals

    Publicerades: 2016-03-02