Data Science at Home

268 Épisodes

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

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

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

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

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

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

   Publié: 15/06/2020
7. Compressing deep learning models: rewinding (Ep.105)

   Publié: 01/06/2020
8. Compressing deep learning models: distillation (Ep.104)

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

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

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

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

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

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

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

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

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

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

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

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

    Publié: 28/12/2019