Data Science at Home

265 Afleveringen

1. How to improve the stability of training a GAN (Ep. 88)

   Gepubliceerd: 18-11-2019
2. What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)

   Gepubliceerd: 12-11-2019
3. Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)

   Gepubliceerd: 5-11-2019
4. More powerful deep learning with transformers (Ep. 84)

   Gepubliceerd: 27-10-2019
5. What is wrong with reinforcement learning? (Ep. 82)

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

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

   Gepubliceerd: 1-10-2019
8. [RB] How to scale AI in your organisation (Ep. 79)

   Gepubliceerd: 26-9-2019
9. Replicating GPT-2, the most dangerous NLP model (with Aaron Gokaslan) (Ep. 78)

   Gepubliceerd: 23-9-2019
10. How to generate very large images with GANs (Ep. 76)

    Gepubliceerd: 6-9-2019
11. How to cluster tabular data with Markov Clustering (Ep. 73)

    Gepubliceerd: 20-8-2019
12. Waterfall or Agile? The best methodology for AI and machine learning (Ep. 72)

    Gepubliceerd: 14-8-2019
13. Training neural networks faster without GPU (Ep. 71)

    Gepubliceerd: 6-8-2019
14. Validate neural networks without data with Dr. Charles Martin (Ep. 70)

    Gepubliceerd: 23-7-2019
15. Complex video analysis made easy with Videoflow (Ep. 69)

    Gepubliceerd: 16-7-2019
16. Episode 68: AI and the future of banking with Chris Skinner [RB]

    Gepubliceerd: 9-7-2019
17. Episode 67: Classic Computer Science Problems in Python

    Gepubliceerd: 2-7-2019
18. Episode 66: More intelligent machines with self-supervised learning

    Gepubliceerd: 25-6-2019
19. Episode 65: AI knows biology. Or does it?

    Gepubliceerd: 23-6-2019
20. Episode 64: Get the best shot at NLP sentiment analysis

    Gepubliceerd: 14-6-2019