Data Science at Home

268 Odcinki

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

   Opublikowany: 3.07.2020
2. Rust and machine learning #4: practical tools (Ep. 110)

   Opublikowany: 29.06.2020
3. Rust and machine learning #3 with Alec Mocatta (Ep. 109)

   Opublikowany: 22.06.2020
4. Rust and machine learning #2 with Luca Palmieri (Ep. 108)

   Opublikowany: 19.06.2020
5. Rust and machine learning #1 (Ep. 107)

   Opublikowany: 17.06.2020
6. Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)

   Opublikowany: 15.06.2020
7. Compressing deep learning models: rewinding (Ep.105)

   Opublikowany: 1.06.2020
8. Compressing deep learning models: distillation (Ep.104)

   Opublikowany: 20.05.2020
9. Pandemics and the risks of collecting data (Ep. 103)

   Opublikowany: 8.05.2020
10. Why average can get your predictions very wrong (ep. 102)

    Opublikowany: 19.04.2020
11. Activate deep learning neurons faster with Dynamic RELU (ep. 101)

    Opublikowany: 1.04.2020
12. WARNING!! Neural networks can memorize secrets (ep. 100)

    Opublikowany: 23.03.2020
13. Attacks to machine learning model: inferring ownership of training data (Ep. 99)

    Opublikowany: 14.03.2020
14. Don't be naive with data anonymization (Ep. 98)

    Opublikowany: 8.03.2020
15. Why sharing real data is dangerous (Ep. 97)

    Opublikowany: 1.03.2020
16. Building reproducible machine learning in production (Ep. 96)

    Opublikowany: 22.02.2020
17. Bridging the gap between data science and data engineering: metrics (Ep. 95)

    Opublikowany: 14.02.2020
18. A big welcome to Pryml: faster machine learning applications to production

    Opublikowany: 7.02.2020
19. It's cold outside. Let's speak about AI winter (Ep. 93)

    Opublikowany: 31.12.2019
20. The dark side of AI: bias in the machine (Ep. 92)

    Opublikowany: 28.12.2019