Data Science at Home

Een podcast door Francesco Gadaleta

Categorieën:

265 Afleveringen

  1. Rust and machine learning #2 with Luca Palmieri (Ep. 108)

    Gepubliceerd: 19-6-2020
  2. Rust and machine learning #1 (Ep. 107)

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

    Gepubliceerd: 15-6-2020
  4. Compressing deep learning models: rewinding (Ep.105)

    Gepubliceerd: 1-6-2020
  5. Compressing deep learning models: distillation (Ep.104)

    Gepubliceerd: 20-5-2020
  6. Pandemics and the risks of collecting data (Ep. 103)

    Gepubliceerd: 8-5-2020
  7. Why average can get your predictions very wrong (ep. 102)

    Gepubliceerd: 19-4-2020
  8. Activate deep learning neurons faster with Dynamic RELU (ep. 101)

    Gepubliceerd: 1-4-2020
  9. WARNING!! Neural networks can memorize secrets (ep. 100)

    Gepubliceerd: 23-3-2020
  10. Attacks to machine learning model: inferring ownership of training data (Ep. 99)

    Gepubliceerd: 14-3-2020
  11. Don't be naive with data anonymization (Ep. 98)

    Gepubliceerd: 8-3-2020
  12. Why sharing real data is dangerous (Ep. 97)

    Gepubliceerd: 1-3-2020
  13. Building reproducible machine learning in production (Ep. 96)

    Gepubliceerd: 22-2-2020
  14. Bridging the gap between data science and data engineering: metrics (Ep. 95)

    Gepubliceerd: 14-2-2020
  15. A big welcome to Pryml: faster machine learning applications to production

    Gepubliceerd: 7-2-2020
  16. It's cold outside. Let's speak about AI winter (Ep. 93)

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

    Gepubliceerd: 28-12-2019
  18. The dark side of AI: metadata and the death of privacy (Ep. 91)

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

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

    Gepubliceerd: 3-12-2019

9 / 14

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

Visit the podcast's native language site