Data Science at Home

264 Episodo

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

   Publicado: 28/5/2019
2. Episode 61: The 4 best use cases of entropy in machine learning

   Publicado: 21/5/2019
3. Episode 60: Predicting your mouse click (and a crash course in deeplearning)

   Publicado: 16/5/2019
4. Episode 59: How to fool a smart camera with deep learning

   Publicado: 7/5/2019
5. Episode 58: There is physics in deep learning!

   Publicado: 30/4/2019
6. Episode 57: Neural networks with infinite layers

   Publicado: 23/4/2019
7. Episode 56: The graph network

   Publicado: 16/4/2019
8. Episode 55: Beyond deep learning

   Publicado: 9/4/2019
9. Episode 54: Reproducible machine learning

   Publicado: 9/3/2019
10. Episode 53: Estimating uncertainty with neural networks

    Publicado: 23/1/2019
11. Episode 52: why do machine learning models fail? [RB]

    Publicado: 17/1/2019
12. Episode 51: Decentralized machine learning in the data marketplace (part 2)

    Publicado: 8/1/2019
13. Episode 50: Decentralized machine learning in the data marketplace

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

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

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

    Publicado: 11/9/2018
17. Episode 46: why do machine learning models fail? (Part 2)

    Publicado: 4/9/2018
18. Episode 45: why do machine learning models fail?

    Publicado: 28/8/2018
19. Episode 44: The predictive power of metadata

    Publicado: 21/8/2018
20. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

    Publicado: 14/8/2018