Data Science at Home

264 Episodes

1. Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)

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

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

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

   Published: 10/30/2020
5. Neural search (Ep. 123)

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

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

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

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

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

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

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

    Published: 8/12/2020
13. Test-First machine learning (Ep. 115)

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

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

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

    Published: 7/19/2020
17. [RB] It’s cold outside. Let’s speak about AI winter (Ep. 111)

    Published: 7/3/2020
18. Rust and machine learning #4: practical tools (Ep. 110)

    Published: 6/29/2020
19. Rust and machine learning #3 with Alec Mocatta (Ep. 109)

    Published: 6/22/2020
20. Rust and machine learning #2 with Luca Palmieri (Ep. 108)

    Published: 6/19/2020