Data Science at Home

254 Episodes

1. Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)

   Published: 14/08/2019
2. Training neural networks faster without GPU (Ep. 71)

   Published: 6/08/2019
3. Validate neural networks without data with Dr. Charles Martin (Ep. 70)

   Published: 23/07/2019
4. Complex video analysis made easy with Videoflow (Ep. 69)

   Published: 16/07/2019
5. Episode 68: AI and the future of banking with Chris Skinner [RB]

   Published: 9/07/2019
6. Episode 67: Classic Computer Science Problems in Python

   Published: 2/07/2019
7. Episode 66: More intelligent machines with self-supervised learning

   Published: 25/06/2019
8. Episode 65: AI knows biology. Or does it?

   Published: 23/06/2019
9. Episode 64: Get the best shot at NLP sentiment analysis

   Published: 14/06/2019
10. Episode 63: Financial time series and machine learning

    Published: 4/06/2019
11. Episode 62: AI and the future of banking with Chris Skinner

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

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

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

    Published: 7/05/2019
15. Episode 58: There is physics in deep learning!

    Published: 30/04/2019
16. Episode 57: Neural networks with infinite layers

    Published: 23/04/2019
17. Episode 56: The graph network

    Published: 16/04/2019
18. Episode 55: Beyond deep learning

    Published: 9/04/2019
19. Episode 54: Reproducible machine learning

    Published: 9/03/2019
20. Episode 53: Estimating uncertainty with neural networks

    Published: 23/01/2019