Data Science at Home

263 Episoade

1. Evolution of data platforms (Ep. 209)

   Publicat: 08.11.2022
2. [RB] Is studying AI in academia a waste of time? (Ep. 208)

   Publicat: 02.11.2022
3. Private machine learning done right (Ep. 207)

   Publicat: 25.10.2022
4. Edge AI for applications in military and space (Ep. 206)

   Publicat: 15.10.2022
5. [RB] What are generalist agents and why they can change the AI game (Ep. 205)

   Publicat: 05.10.2022
6. LIDAR, cameras and autonomous vehicles (Ep. 204)

   Publicat: 28.09.2022
7. Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)

   Publicat: 20.09.2022
8. Is studying AI in academia a waste of time? (Ep. 202)

   Publicat: 13.09.2022
9. Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)

   Publicat: 07.09.2022
10. Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)

    Publicat: 27.05.2022
11. Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

    Publicat: 16.05.2022
12. State of Artificial Intelligence 2022 (Ep. 196)

    Publicat: 06.05.2022
13. Improving your AI by finding issues within data pockets (Ep. 195)

    Publicat: 21.04.2022
14. Fake data that looks, feels, and behaves like production.(Ep.194)

    Publicat: 13.04.2022
15. Batteries and AI in Automotive (Ep. 193)

    Publicat: 01.04.2022
16. Collect data at the edge [RB] (Ep. 192)

    Publicat: 25.03.2022
17. Bayesian Machine Learning with Ravin Kumar (Ep. 191)

    Publicat: 19.03.2022
18. What is spatial data science? With Matt Forest from Carto (Ep. 190)

    Publicat: 02.03.2022
19. Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)

    Publicat: 22.02.2022
20. History of data science [RB] (Ep. 188)

    Publicat: 16.02.2022