Data Science at Home

264 Episoade

1. Episode 62: AI and the future of banking with Chris Skinner

   Publicat: 28.05.2019
2. Episode 61: The 4 best use cases of entropy in machine learning

   Publicat: 21.05.2019
3. Episode 60: Predicting your mouse click (and a crash course in deeplearning)

   Publicat: 16.05.2019
4. Episode 59: How to fool a smart camera with deep learning

   Publicat: 07.05.2019
5. Episode 58: There is physics in deep learning!

   Publicat: 30.04.2019
6. Episode 57: Neural networks with infinite layers

   Publicat: 23.04.2019
7. Episode 56: The graph network

   Publicat: 16.04.2019
8. Episode 55: Beyond deep learning

   Publicat: 09.04.2019
9. Episode 54: Reproducible machine learning

   Publicat: 09.03.2019
10. Episode 53: Estimating uncertainty with neural networks

    Publicat: 23.01.2019
11. Episode 52: why do machine learning models fail? [RB]

    Publicat: 17.01.2019
12. Episode 51: Decentralized machine learning in the data marketplace (part 2)

    Publicat: 08.01.2019
13. Episode 50: Decentralized machine learning in the data marketplace

    Publicat: 26.12.2018
14. Episode 49: The promises of Artificial Intelligence

    Publicat: 19.12.2018
15. Episode 48: Coffee, Machine Learning and Blockchain

    Publicat: 21.10.2018
16. Episode 47: Are you ready for AI winter? [Rebroadcast]

    Publicat: 11.09.2018
17. Episode 46: why do machine learning models fail? (Part 2)

    Publicat: 04.09.2018
18. Episode 45: why do machine learning models fail?

    Publicat: 28.08.2018
19. Episode 44: The predictive power of metadata

    Publicat: 21.08.2018
20. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

    Publicat: 14.08.2018