Data Science at Home

268 Épisodes

1. The dark side of AI: metadata and the death of privacy (Ep. 91)

   Publié: 23/12/2019
2. The dark side of AI: recommend and manipulate (Ep. 90)

   Publié: 11/12/2019
3. The dark side of AI: social media and the optimization of addiction (Ep. 89)

   Publié: 03/12/2019
4. How to improve the stability of training a GAN (Ep. 88)

   Publié: 18/11/2019
5. What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)

   Publié: 12/11/2019
6. Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)

   Publié: 05/11/2019
7. More powerful deep learning with transformers (Ep. 84)

   Publié: 27/10/2019
8. What is wrong with reinforcement learning? (Ep. 82)

   Publié: 15/10/2019
9. Have you met Shannon? Conversation with Jimmy Soni and Rob Goodman about one of the greatest minds in history (Ep. 81)

   Publié: 10/10/2019
10. Attacking machine learning for fun and profit (with the authors of SecML Ep. 80)

    Publié: 01/10/2019
11. [RB] How to scale AI in your organisation (Ep. 79)

    Publié: 26/09/2019
12. Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 78)

    Publié: 23/09/2019
13. How to generate very large images with GANs (Ep. 76)

    Publié: 06/09/2019
14. How to cluster tabular data with Markov Clustering (Ep. 73)

    Publié: 20/08/2019
15. Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)

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

    Publié: 06/08/2019
17. Validate neural networks without data with Dr. Charles Martin (Ep. 70)

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

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

    Publié: 09/07/2019
20. Episode 67: Classic Computer Science Problems in Python

    Publié: 02/07/2019