Data Science at Home

En podcast av Francesco Gadaleta

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268 Avsnitt

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicerades: 2019-07-09
  20. Episode 67: Classic Computer Science Problems in Python

    Publicerades: 2019-07-02

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Artificial Intelligence, algorithms and tech tales that are shaping the world. Hype not included.

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