Data Science at Home

263 Odcinki

1. Top-3 ways to put machine learning models into production (Ep. 126)

   Opublikowany: 7.11.2020
2. Remove noise from data with deep learning (Ep.125)

   Opublikowany: 3.11.2020
3. What is contrastive learning and why it is so powerful? (Ep. 124)

   Opublikowany: 30.10.2020
4. Neural search (Ep. 123)

   Opublikowany: 23.10.2020
5. Let's talk about federated learning (Ep. 122)

   Opublikowany: 18.10.2020
6. How to test machine learning in production (Ep. 121)

   Opublikowany: 11.10.2020
7. Why synthetic data cannot boost machine learning (Ep. 120)

   Opublikowany: 26.09.2020
8. Machine learning in production: best practices [LIVE from twitch.tv]

   Opublikowany: 16.09.2020
9. Testing in machine learning: checking deeplearning models (Ep. 118)

   Opublikowany: 4.09.2020
10. Testing in machine learning: generating tests and data (Ep. 117)

    Opublikowany: 29.08.2020
11. Why you care about homomorphic encryption (Ep. 116)

    Opublikowany: 12.08.2020
12. Test-First machine learning (Ep. 115)

    Opublikowany: 3.08.2020
13. GPT-3 cannot code (and never will) (Ep. 114)

    Opublikowany: 26.07.2020
14. Make Stochastic Gradient Descent Fast Again (Ep. 113)

    Opublikowany: 22.07.2020
15. What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)

    Opublikowany: 19.07.2020
16. [RB] It’s cold outside. Let’s speak about AI winter (Ep. 111)

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

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

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

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

    Opublikowany: 17.06.2020