Data Science at Home

264 Episodio

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

   Pubblicato: 28/05/2019
2. Episode 61: The 4 best use cases of entropy in machine learning

   Pubblicato: 21/05/2019
3. Episode 60: Predicting your mouse click (and a crash course in deeplearning)

   Pubblicato: 16/05/2019
4. Episode 59: How to fool a smart camera with deep learning

   Pubblicato: 07/05/2019
5. Episode 58: There is physics in deep learning!

   Pubblicato: 30/04/2019
6. Episode 57: Neural networks with infinite layers

   Pubblicato: 23/04/2019
7. Episode 56: The graph network

   Pubblicato: 16/04/2019
8. Episode 55: Beyond deep learning

   Pubblicato: 09/04/2019
9. Episode 54: Reproducible machine learning

   Pubblicato: 09/03/2019
10. Episode 53: Estimating uncertainty with neural networks

    Pubblicato: 23/01/2019
11. Episode 52: why do machine learning models fail? [RB]

    Pubblicato: 17/01/2019
12. Episode 51: Decentralized machine learning in the data marketplace (part 2)

    Pubblicato: 08/01/2019
13. Episode 50: Decentralized machine learning in the data marketplace

    Pubblicato: 26/12/2018
14. Episode 49: The promises of Artificial Intelligence

    Pubblicato: 19/12/2018
15. Episode 48: Coffee, Machine Learning and Blockchain

    Pubblicato: 21/10/2018
16. Episode 47: Are you ready for AI winter? [Rebroadcast]

    Pubblicato: 11/09/2018
17. Episode 46: why do machine learning models fail? (Part 2)

    Pubblicato: 04/09/2018
18. Episode 45: why do machine learning models fail?

    Pubblicato: 28/08/2018
19. Episode 44: The predictive power of metadata

    Pubblicato: 21/08/2018
20. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

    Pubblicato: 14/08/2018