Data Science at Home

254 Episodes

1. Testing in machine learning: generating tests and data (Ep. 117)

   Published: 29/08/2020
2. Why you care about homomorphic encryption (Ep. 116)

   Published: 12/08/2020
3. Test-First machine learning (Ep. 115)

   Published: 3/08/2020
4. GPT-3 cannot code (and never will) (Ep. 114)

   Published: 26/07/2020
5. Make Stochastic Gradient Descent Fast Again (Ep. 113)

   Published: 22/07/2020
6. What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)

   Published: 19/07/2020
7. [RB] It’s cold outside. Let’s speak about AI winter (Ep. 111)

   Published: 3/07/2020
8. Rust and machine learning #4: practical tools (Ep. 110)

   Published: 29/06/2020
9. Rust and machine learning #3 with Alec Mocatta (Ep. 109)

   Published: 22/06/2020
10. Rust and machine learning #2 with Luca Palmieri (Ep. 108)

    Published: 19/06/2020
11. Rust and machine learning #1 (Ep. 107)

    Published: 17/06/2020
12. Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)

    Published: 15/06/2020
13. Compressing deep learning models: rewinding (Ep.105)

    Published: 1/06/2020
14. Compressing deep learning models: distillation (Ep.104)

    Published: 20/05/2020
15. Pandemics and the risks of collecting data (Ep. 103)

    Published: 8/05/2020
16. Why average can get your predictions very wrong (ep. 102)

    Published: 19/04/2020
17. Activate deep learning neurons faster with Dynamic RELU (ep. 101)

    Published: 1/04/2020
18. WARNING!! Neural networks can memorize secrets (ep. 100)

    Published: 23/03/2020
19. Attacks to machine learning model: inferring ownership of training data (Ep. 99)

    Published: 14/03/2020
20. Don't be naive with data anonymization (Ep. 98)

    Published: 8/03/2020