Data Science at Home

261 Odcinki

1. Reinforcement Learning is all you need. Or is it? (Ep. 165)

   Opublikowany: 17.08.2021
2. What's happening with AI today? (Ep. 164)

   Opublikowany: 11.08.2021
3. 2 effective ways to explain your predictions (Ep. 163)

   Opublikowany: 3.08.2021
4. The Netflix challenge. Fair or what? (Ep. 162)

   Opublikowany: 22.07.2021
5. Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)

   Opublikowany: 15.07.2021
6. Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)

   Opublikowany: 8.07.2021
7. GitHub Copilot: yay or nay? (Ep. 159)

   Opublikowany: 6.07.2021
8. Pandas vs Rust [RB] (Ep. 158)

   Opublikowany: 1.07.2021
9. A simple trick for very unbalanced data (Ep. 157)

   Opublikowany: 22.06.2021
10. Time to take your data back with Tapmydata (Ep. 156)

    Opublikowany: 15.06.2021
11. True Machine Intelligence just like the human brain (Ep. 155)

    Opublikowany: 4.06.2021
12. Delivering unstoppable data with Streamr (Ep. 154)

    Opublikowany: 26.05.2021
13. MLOps: the good, the bad and the ugly (Ep. 153)

    Opublikowany: 24.05.2021
14. MLOps: what is and why it is important Part 2 (Ep. 152)

    Opublikowany: 19.05.2021
15. MLOps: what is and why it is important (Ep. 151)

    Opublikowany: 11.05.2021
16. Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150)

    Opublikowany: 28.04.2021
17. Building high-growth data businesses with Lillian Pierson (Ep. 149)

    Opublikowany: 19.04.2021
18. Learning and training in AI times (Ep. 148)

    Opublikowany: 13.04.2021
19. You are the product [RB] (Ep. 147)

    Opublikowany: 11.04.2021
20. Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)

    Opublikowany: 8.04.2021