Data Science at Home

268 Episoder

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publisert: 27.9.2016
16. Episode 13: Data Science and Fraud Detection at iZettle

    Publisert: 6.9.2016
17. Episode 12: EU Regulations and the rise of Data Hijackers

    Publisert: 26.7.2016
18. Episode 11: Representative Subsets For Big Data Learning

    Publisert: 3.5.2016
19. Episode 10: History and applications of Deep Learning

    Publisert: 14.3.2016
20. Episode 9: Markov Chain Montecarlo with full conditionals

    Publisert: 2.3.2016