Data Science at Home

254 Episodo

1. What is a data mesh and why it is relevant (Ep. 178)

   Publicado: 30/11/2021
2. Environmentally friendly AI (Ep. 177)

   Publicado: 23/11/2021
3. Do you fear of AI? Why? (Ep. 176)

   Publicado: 16/11/2021
4. Composable models and artificial general intelligence (Ep. 175)

   Publicado: 9/11/2021
5. Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

   Publicado: 2/11/2021
6. Is neural hash by Apple violating our privacy? (Ep. 173)

   Publicado: 26/10/2021
7. Fighting Climate Change as a Technologist (Ep. 172)

   Publicado: 19/10/2021
8. AI in the Enterprise with IBM Global AI Strategist Mara Pometti (Ep. 171)

   Publicado: 11/10/2021
9. Speaking about data with Mikkel Settnes from Dreamdata.io (Ep. 170)

   Publicado: 24/9/2021
10. Send compute to data with POSH data-aware shell (Ep. 169)

    Publicado: 14/9/2021
11. How are organisations doing with data and AI? (Ep. 168)

    Publicado: 7/9/2021
12. Don't fight! Cooperate. Generative Teaching Networks (Ep. 167)

    Publicado: 31/8/2021
13. CSV sucks. Here is why. (Ep. 166)

    Publicado: 24/8/2021
14. Reinforcement Learning is all you need. Or is it? (Ep. 165)

    Publicado: 17/8/2021
15. What's happening with AI today? (Ep. 164)

    Publicado: 11/8/2021
16. 2 effective ways to explain your predictions (Ep. 163)

    Publicado: 3/8/2021
17. The Netflix challenge. Fair or what? (Ep. 162)

    Publicado: 22/7/2021
18. Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)

    Publicado: 15/7/2021
19. Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)

    Publicado: 8/7/2021
20. GitHub Copilot: yay or nay? (Ep. 159)

    Publicado: 6/7/2021