Data Science at Home

254 Episodes

1. Pandas vs Rust [RB] (Ep. 158)

   Published: 1/07/2021
2. A simple trick for very unbalanced data (Ep. 157)

   Published: 22/06/2021
3. Time to take your data back with Tapmydata (Ep. 156)

   Published: 15/06/2021
4. True Machine Intelligence just like the human brain (Ep. 155)

   Published: 4/06/2021
5. Delivering unstoppable data with Streamr (Ep. 154)

   Published: 26/05/2021
6. MLOps: the good, the bad and the ugly (Ep. 153)

   Published: 24/05/2021
7. MLOps: what is and why it is important Part 2 (Ep. 152)

   Published: 19/05/2021
8. MLOps: what is and why it is important (Ep. 151)

   Published: 11/05/2021
9. Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150)

   Published: 28/04/2021
10. Building high-growth data businesses with Lillian Pierson (Ep. 149)

    Published: 19/04/2021
11. Learning and training in AI times (Ep. 148)

    Published: 13/04/2021
12. You are the product [RB] (Ep. 147)

    Published: 11/04/2021
13. Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)

    Published: 8/04/2021
14. Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)

    Published: 26/03/2021
15. Pandas vs Rust (Ep. 144)

    Published: 19/03/2021
16. Concurrent is not parallel - Part 2 (Ep. 143)

    Published: 13/03/2021
17. Concurrent is not parallel - Part 1 (Ep. 142)

    Published: 10/03/2021
18. Backend technologies for machine learning in production (Ep. 141)

    Published: 2/03/2021
19. How to reinvent banking and finance with data and technology (Ep. 139)

    Published: 15/02/2021
20. What's up with WhatsApp? (Ep. 138)

    Published: 7/02/2021