Data Science at Home

268 Episodo

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

   Publicado: 4/12/2020
2. Test-First Machine Learning [RB] (Ep. 130)

   Publicado: 1/12/2020
3. Similarity in Machine Learning (Ep. 129)

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

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

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

   Publicado: 7/11/2020
7. Remove noise from data with deep learning (Ep.125)

   Publicado: 3/11/2020
8. What is contrastive learning and why it is so powerful? (Ep. 124)

   Publicado: 30/10/2020
9. Neural search (Ep. 123)

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

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

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

    Publicado: 26/9/2020
13. Machine learning in production: best practices [LIVE from twitch.tv]

    Publicado: 16/9/2020
14. Testing in machine learning: checking deeplearning models (Ep. 118)

    Publicado: 4/9/2020
15. Testing in machine learning: generating tests and data (Ep. 117)

    Publicado: 29/8/2020
16. Why you care about homomorphic encryption (Ep. 116)

    Publicado: 12/8/2020
17. Test-First machine learning (Ep. 115)

    Publicado: 3/8/2020
18. GPT-3 cannot code (and never will) (Ep. 114)

    Publicado: 26/7/2020
19. Make Stochastic Gradient Descent Fast Again (Ep. 113)

    Publicado: 22/7/2020
20. What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)

    Publicado: 19/7/2020