Data Science at Home

268 Avsnitt

1. What happens to data transfer after Schrems II? (Ep. 131)

   Publicerades: 2020-12-04
2. Test-First Machine Learning [RB] (Ep. 130)

   Publicerades: 2020-12-01
3. Similarity in Machine Learning (Ep. 129)

   Publicerades: 2020-11-24
4. Distill data and train faster, better, cheaper (Ep. 128)

   Publicerades: 2020-11-17
5. Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)

   Publicerades: 2020-11-11
6. Top-3 ways to put machine learning models into production (Ep. 126)

   Publicerades: 2020-11-07
7. Remove noise from data with deep learning (Ep.125)

   Publicerades: 2020-11-03
8. What is contrastive learning and why it is so powerful? (Ep. 124)

   Publicerades: 2020-10-30
9. Neural search (Ep. 123)

   Publicerades: 2020-10-23
10. Let's talk about federated learning (Ep. 122)

    Publicerades: 2020-10-18
11. How to test machine learning in production (Ep. 121)

    Publicerades: 2020-10-11
12. Why synthetic data cannot boost machine learning (Ep. 120)

    Publicerades: 2020-09-26
13. Machine learning in production: best practices [LIVE from twitch.tv]

    Publicerades: 2020-09-16
14. Testing in machine learning: checking deeplearning models (Ep. 118)

    Publicerades: 2020-09-04
15. Testing in machine learning: generating tests and data (Ep. 117)

    Publicerades: 2020-08-29
16. Why you care about homomorphic encryption (Ep. 116)

    Publicerades: 2020-08-12
17. Test-First machine learning (Ep. 115)

    Publicerades: 2020-08-03
18. GPT-3 cannot code (and never will) (Ep. 114)

    Publicerades: 2020-07-26
19. Make Stochastic Gradient Descent Fast Again (Ep. 113)

    Publicerades: 2020-07-22
20. What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)

    Publicerades: 2020-07-19