Data Science at Home

254 Episoder

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

   Publisert: 30.11.2021
2. Environmentally friendly AI (Ep. 177)

   Publisert: 23.11.2021
3. Do you fear of AI? Why? (Ep. 176)

   Publisert: 16.11.2021
4. Composable models and artificial general intelligence (Ep. 175)

   Publisert: 9.11.2021
5. Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

   Publisert: 2.11.2021
6. Is neural hash by Apple violating our privacy? (Ep. 173)

   Publisert: 26.10.2021
7. Fighting Climate Change as a Technologist (Ep. 172)

   Publisert: 19.10.2021
8. AI in the Enterprise with IBM Global AI Strategist Mara Pometti (Ep. 171)

   Publisert: 11.10.2021
9. Speaking about data with Mikkel Settnes from Dreamdata.io (Ep. 170)

   Publisert: 24.9.2021
10. Send compute to data with POSH data-aware shell (Ep. 169)

    Publisert: 14.9.2021
11. How are organisations doing with data and AI? (Ep. 168)

    Publisert: 7.9.2021
12. Don't fight! Cooperate. Generative Teaching Networks (Ep. 167)

    Publisert: 31.8.2021
13. CSV sucks. Here is why. (Ep. 166)

    Publisert: 24.8.2021
14. Reinforcement Learning is all you need. Or is it? (Ep. 165)

    Publisert: 17.8.2021
15. What's happening with AI today? (Ep. 164)

    Publisert: 11.8.2021
16. 2 effective ways to explain your predictions (Ep. 163)

    Publisert: 3.8.2021
17. The Netflix challenge. Fair or what? (Ep. 162)

    Publisert: 22.7.2021
18. Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)

    Publisert: 15.7.2021
19. Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)

    Publisert: 8.7.2021
20. GitHub Copilot: yay or nay? (Ep. 159)

    Publisert: 6.7.2021