Data Science at Home

268 Episodes

1. Episode 46: why do machine learning models fail? (Part 2)

   Published: 9/4/2018
2. Episode 45: why do machine learning models fail?

   Published: 8/28/2018
3. Episode 44: The predictive power of metadata

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

   Published: 8/14/2018
5. Episode 42: Attacking deep learning models (rebroadcast)

   Published: 8/7/2018
6. Episode 41: How can deep neural networks reason

   Published: 7/31/2018
7. Episode 40: Deep learning and image compression

   Published: 7/24/2018
8. Episode 39: What is L1-norm and L2-norm?

   Published: 7/19/2018
9. Episode 38: Collective intelligence (Part 2)

   Published: 7/17/2018
10. Episode 38: Collective intelligence (Part 1)

    Published: 7/12/2018
11. Episode 37: Predicting the weather with deep learning

    Published: 7/9/2018
12. Episode 36: The dangers of machine learning and medicine

    Published: 7/3/2018
13. Episode 35: Attacking deep learning models

    Published: 6/29/2018
14. Episode 34: Get ready for AI winter

    Published: 6/22/2018
15. Episode 33: Decentralized Machine Learning and the proof-of-train

    Published: 6/11/2018
16. Episode 32: I am back. I have been building fitchain

    Published: 6/4/2018
17. Founder Interview – Francesco Gadaleta of Fitchain

    Published: 5/24/2018
18. Episode 31: The End of Privacy

    Published: 4/2/2018
19. Episode 30: Neural networks and genetic evolution: an unfeasible approach

    Published: 11/21/2017
20. Episode 29: Fail your AI company in 9 steps

    Published: 11/11/2017