Data Science at Home

264 Episodo

1. Rust and machine learning #1 (Ep. 107)

   Publicado: 17/6/2020
2. Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)

   Publicado: 15/6/2020
3. Compressing deep learning models: rewinding (Ep.105)

   Publicado: 1/6/2020
4. Compressing deep learning models: distillation (Ep.104)

   Publicado: 20/5/2020
5. Pandemics and the risks of collecting data (Ep. 103)

   Publicado: 8/5/2020
6. Why average can get your predictions very wrong (ep. 102)

   Publicado: 19/4/2020
7. Activate deep learning neurons faster with Dynamic RELU (ep. 101)

   Publicado: 1/4/2020
8. WARNING!! Neural networks can memorize secrets (ep. 100)

   Publicado: 23/3/2020
9. Attacks to machine learning model: inferring ownership of training data (Ep. 99)

   Publicado: 14/3/2020
10. Don't be naive with data anonymization (Ep. 98)

    Publicado: 8/3/2020
11. Why sharing real data is dangerous (Ep. 97)

    Publicado: 1/3/2020
12. Building reproducible machine learning in production (Ep. 96)

    Publicado: 22/2/2020
13. Bridging the gap between data science and data engineering: metrics (Ep. 95)

    Publicado: 14/2/2020
14. A big welcome to Pryml: faster machine learning applications to production

    Publicado: 7/2/2020
15. It's cold outside. Let's speak about AI winter (Ep. 93)

    Publicado: 31/12/2019
16. The dark side of AI: bias in the machine (Ep. 92)

    Publicado: 28/12/2019
17. The dark side of AI: metadata and the death of privacy (Ep. 91)

    Publicado: 23/12/2019
18. The dark side of AI: recommend and manipulate (Ep. 90)

    Publicado: 11/12/2019
19. The dark side of AI: social media and the optimization of addiction (Ep. 89)

    Publicado: 3/12/2019
20. How to improve the stability of training a GAN (Ep. 88)

    Publicado: 18/11/2019