Data Science at Home

264 Episodes

1. How are organisations doing with data and AI? (Ep. 168)

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

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

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

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

   Published: 8/11/2021
6. 2 effective ways to explain your predictions (Ep. 163)

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

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

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

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

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

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

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

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

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

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

    Published: 5/24/2021
17. MLOps: what is and why it is important Part 2 (Ep. 152)

    Published: 5/19/2021
18. MLOps: what is and why it is important (Ep. 151)

    Published: 5/11/2021
19. Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150)

    Published: 4/28/2021
20. Building high-growth data businesses with Lillian Pierson (Ep. 149)

    Published: 4/19/2021