Data Science at Home

264 Episoder

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

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

   Udgivet: 31.8.2021
3. CSV sucks. Here is why. (Ep. 166)

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

   Udgivet: 17.8.2021
5. What's happening with AI today? (Ep. 164)

   Udgivet: 11.8.2021
6. 2 effective ways to explain your predictions (Ep. 163)

   Udgivet: 3.8.2021
7. The Netflix challenge. Fair or what? (Ep. 162)

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

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

   Udgivet: 8.7.2021
10. GitHub Copilot: yay or nay? (Ep. 159)

    Udgivet: 6.7.2021
11. Pandas vs Rust [RB] (Ep. 158)

    Udgivet: 1.7.2021
12. A simple trick for very unbalanced data (Ep. 157)

    Udgivet: 22.6.2021
13. Time to take your data back with Tapmydata (Ep. 156)

    Udgivet: 15.6.2021
14. True Machine Intelligence just like the human brain (Ep. 155)

    Udgivet: 4.6.2021
15. Delivering unstoppable data with Streamr (Ep. 154)

    Udgivet: 26.5.2021
16. MLOps: the good, the bad and the ugly (Ep. 153)

    Udgivet: 24.5.2021
17. MLOps: what is and why it is important Part 2 (Ep. 152)

    Udgivet: 19.5.2021
18. MLOps: what is and why it is important (Ep. 151)

    Udgivet: 11.5.2021
19. Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150)

    Udgivet: 28.4.2021
20. Building high-growth data businesses with Lillian Pierson (Ep. 149)

    Udgivet: 19.4.2021