Data Science at Home

En podcast av Francesco Gadaleta

Kategorier:

268 Avsnitt

  1. [RB] It’s cold outside. Let’s speak about AI winter (Ep. 111)

    Publicerades: 2020-07-03
  2. Rust and machine learning #4: practical tools (Ep. 110)

    Publicerades: 2020-06-29
  3. Rust and machine learning #3 with Alec Mocatta (Ep. 109)

    Publicerades: 2020-06-22
  4. Rust and machine learning #2 with Luca Palmieri (Ep. 108)

    Publicerades: 2020-06-19
  5. Rust and machine learning #1 (Ep. 107)

    Publicerades: 2020-06-17
  6. Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)

    Publicerades: 2020-06-15
  7. Compressing deep learning models: rewinding (Ep.105)

    Publicerades: 2020-06-01
  8. Compressing deep learning models: distillation (Ep.104)

    Publicerades: 2020-05-20
  9. Pandemics and the risks of collecting data (Ep. 103)

    Publicerades: 2020-05-08
  10. Why average can get your predictions very wrong (ep. 102)

    Publicerades: 2020-04-19
  11. Activate deep learning neurons faster with Dynamic RELU (ep. 101)

    Publicerades: 2020-04-01
  12. WARNING!! Neural networks can memorize secrets (ep. 100)

    Publicerades: 2020-03-23
  13. Attacks to machine learning model: inferring ownership of training data (Ep. 99)

    Publicerades: 2020-03-14
  14. Don't be naive with data anonymization (Ep. 98)

    Publicerades: 2020-03-08
  15. Why sharing real data is dangerous (Ep. 97)

    Publicerades: 2020-03-01
  16. Building reproducible machine learning in production (Ep. 96)

    Publicerades: 2020-02-22
  17. Bridging the gap between data science and data engineering: metrics (Ep. 95)

    Publicerades: 2020-02-14
  18. A big welcome to Pryml: faster machine learning applications to production

    Publicerades: 2020-02-07
  19. It's cold outside. Let's speak about AI winter (Ep. 93)

    Publicerades: 2019-12-31
  20. The dark side of AI: bias in the machine (Ep. 92)

    Publicerades: 2019-12-28

9 / 14

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

Visit the podcast's native language site