Data Science at Home

263 Odcinki

1. Episode 61: The 4 best use cases of entropy in machine learning

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

   Opublikowany: 16.05.2019
3. Episode 59: How to fool a smart camera with deep learning

   Opublikowany: 7.05.2019
4. Episode 58: There is physics in deep learning!

   Opublikowany: 30.04.2019
5. Episode 57: Neural networks with infinite layers

   Opublikowany: 23.04.2019
6. Episode 56: The graph network

   Opublikowany: 16.04.2019
7. Episode 55: Beyond deep learning

   Opublikowany: 9.04.2019
8. Episode 54: Reproducible machine learning

   Opublikowany: 9.03.2019
9. Episode 53: Estimating uncertainty with neural networks

   Opublikowany: 23.01.2019
10. Episode 52: why do machine learning models fail? [RB]

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

    Opublikowany: 8.01.2019
12. Episode 50: Decentralized machine learning in the data marketplace

    Opublikowany: 26.12.2018
13. Episode 49: The promises of Artificial Intelligence

    Opublikowany: 19.12.2018
14. Episode 48: Coffee, Machine Learning and Blockchain

    Opublikowany: 21.10.2018
15. Episode 47: Are you ready for AI winter? [Rebroadcast]

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

    Opublikowany: 4.09.2018
17. Episode 45: why do machine learning models fail?

    Opublikowany: 28.08.2018
18. Episode 44: The predictive power of metadata

    Opublikowany: 21.08.2018
19. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

    Opublikowany: 14.08.2018
20. Episode 42: Attacking deep learning models (rebroadcast)

    Opublikowany: 7.08.2018