Data Science at Home

268 Episodes

1. Fighting Climate Change as a Technologist (Ep. 172)

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

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

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

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

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

   Published: 8/31/2021
7. CSV sucks. Here is why. (Ep. 166)

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

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

   Published: 8/11/2021
10. 2 effective ways to explain your predictions (Ep. 163)

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

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

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

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

    Published: 7/6/2021
15. Pandas vs Rust [RB] (Ep. 158)

    Published: 7/1/2021
16. A simple trick for very unbalanced data (Ep. 157)

    Published: 6/22/2021
17. Time to take your data back with Tapmydata (Ep. 156)

    Published: 6/15/2021
18. True Machine Intelligence just like the human brain (Ep. 155)

    Published: 6/4/2021
19. Delivering unstoppable data with Streamr (Ep. 154)

    Published: 5/26/2021
20. MLOps: the good, the bad and the ugly (Ep. 153)

    Published: 5/24/2021