Data Science at Home

268 Episodes

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

   Published: 04/11/2017
2. Episode 27: Techstars accelerator and the culture of fireflies

   Published: 30/10/2017
3. Episode 26: Deep Learning and Alzheimer

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

   Published: 16/10/2017
5. Episode 24: How to handle imbalanced datasets

   Published: 09/10/2017
6. Episode 23: Why do ensemble methods work?

   Published: 03/10/2017
7. Episode 22: Parallelising and distributing Deep Learning

   Published: 25/09/2017
8. Episode 21: Additional optimisation strategies for deep learning

   Published: 18/09/2017
9. Episode 20: How to master optimisation in deep learning

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

    Published: 09/08/2017
11. Episode 18: Machines that learn like humans

    Published: 28/03/2017
12. Episode 17: Protecting privacy and confidentiality in data and communications

    Published: 15/02/2017
13. Episode 16: 2017 Predictions in Data Science

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

    Published: 05/12/2016
15. Episode 14: The minimum required by a data scientist

    Published: 27/09/2016
16. Episode 13: Data Science and Fraud Detection at iZettle

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

    Published: 26/07/2016
18. Episode 11: Representative Subsets For Big Data Learning

    Published: 03/05/2016
19. Episode 10: History and applications of Deep Learning

    Published: 14/03/2016
20. Episode 9: Markov Chain Montecarlo with full conditionals

    Published: 02/03/2016