100 Avsnitt

  1. #39 - How to make your Data Science project from scratch.

    Publicerades: 2022-02-24
  2. #38 - Artificial Intelligence dictionary. Understanding all the AI terms.

    Publicerades: 2022-02-17
  3. #37 - Reinforcement Learning.

    Publicerades: 2022-02-10
  4. #36 - What are Neural Networks? Are they really intelligent?

    Publicerades: 2022-02-03
  5. #35 - Research, startup and youtube with Shrinivasan Sankar.

    Publicerades: 2022-01-27
  6. #34 - Research, Generative Models, GANs and American Ninja Warrior with Asya Grechka.

    Publicerades: 2022-01-20
  7. #33 - The state of the art is self-supervised! How to pre train NLP and computer vision transformer architectures.

    Publicerades: 2022-01-13
  8. #32 - How to fool a neural network. Understanding adversarial attacks.

    Publicerades: 2022-01-06
  9. #31 - How to make autonomous vehicles drive in different places? Understanding domain adaptation and semi-supervised learning.

    Publicerades: 2021-12-30
  10. #30 - How Alexa talks to you? Speech to text and self-supervised with Miguel Agrizzi

    Publicerades: 2021-12-23
  11. #29 - Metaverse and Omniverse with Vinícius Bonemer.

    Publicerades: 2021-12-16
  12. #28 - Tips for getting your internship in France/Europe with Vinicius Akira.

    Publicerades: 2021-12-09
  13. #27 - Research in computer vision, transformers and autonomous driving with Matthieu Cord.

    Publicerades: 2021-12-02
  14. #26 - AI for energy efficiency and much more with Franco Marchesoni.

    Publicerades: 2021-11-25
  15. #25 - How is the experience of having a podcast.

    Publicerades: 2021-11-18
  16. #24 - Tips for training neural networks, data augmentation and self-supervised learning with Fernando Santos.

    Publicerades: 2021-11-11
  17. #23 - How to fed data into AI algorithms. Understanding categorical feature encoding and scaling/normalization.

    Publicerades: 2021-11-04
  18. #22 - Binary Neural Networks with Breno Skuk.

    Publicerades: 2021-10-28
  19. #21 - Algorithms for NLP and time series. Understanding RNN, GRU and LSTM.

    Publicerades: 2021-10-21
  20. #20 - Applications of RNNs in the real world.

    Publicerades: 2021-10-14

4 / 5

In this podcast I explain some hard concepts of AI in a way that anyone can understand. I also show how AI is influencing our lives and we don’t know.

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