Data Science at Home

268 Odcinki

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

   Opublikowany: 4.11.2017
2. Episode 27: Techstars accelerator and the culture of fireflies

   Opublikowany: 30.10.2017
3. Episode 26: Deep Learning and Alzheimer

   Opublikowany: 23.10.2017
4. Episode 25: How to become data scientist [RB]

   Opublikowany: 16.10.2017
5. Episode 24: How to handle imbalanced datasets

   Opublikowany: 9.10.2017
6. Episode 23: Why do ensemble methods work?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Opublikowany: 2.03.2016