Data Science at Home

264 Episoder

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

   Udgivet: 28.5.2019
2. Episode 61: The 4 best use cases of entropy in machine learning

   Udgivet: 21.5.2019
3. Episode 60: Predicting your mouse click (and a crash course in deeplearning)

   Udgivet: 16.5.2019
4. Episode 59: How to fool a smart camera with deep learning

   Udgivet: 7.5.2019
5. Episode 58: There is physics in deep learning!

   Udgivet: 30.4.2019
6. Episode 57: Neural networks with infinite layers

   Udgivet: 23.4.2019
7. Episode 56: The graph network

   Udgivet: 16.4.2019
8. Episode 55: Beyond deep learning

   Udgivet: 9.4.2019
9. Episode 54: Reproducible machine learning

   Udgivet: 9.3.2019
10. Episode 53: Estimating uncertainty with neural networks

    Udgivet: 23.1.2019
11. Episode 52: why do machine learning models fail? [RB]

    Udgivet: 17.1.2019
12. Episode 51: Decentralized machine learning in the data marketplace (part 2)

    Udgivet: 8.1.2019
13. Episode 50: Decentralized machine learning in the data marketplace

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

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

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

    Udgivet: 11.9.2018
17. Episode 46: why do machine learning models fail? (Part 2)

    Udgivet: 4.9.2018
18. Episode 45: why do machine learning models fail?

    Udgivet: 28.8.2018
19. Episode 44: The predictive power of metadata

    Udgivet: 21.8.2018
20. Episode 43: Applied Text Analysis with Python (interview with Rebecca Bilbro)

    Udgivet: 14.8.2018