Data Science at Home

264 Episoder

1. Autonomous cars cannot drive. Here is why. (Ep. 210)

   Udgivet: 21.11.2022
2. Evolution of data platforms (Ep. 209)

   Udgivet: 8.11.2022
3. [RB] Is studying AI in academia a waste of time? (Ep. 208)

   Udgivet: 2.11.2022
4. Private machine learning done right (Ep. 207)

   Udgivet: 25.10.2022
5. Edge AI for applications in military and space (Ep. 206)

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

   Udgivet: 5.10.2022
7. LIDAR, cameras and autonomous vehicles (Ep. 204)

   Udgivet: 28.9.2022
8. Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)

   Udgivet: 20.9.2022
9. Is studying AI in academia a waste of time? (Ep. 202)

   Udgivet: 13.9.2022
10. Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)

    Udgivet: 7.9.2022
11. Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)

    Udgivet: 27.5.2022
12. Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

    Udgivet: 16.5.2022
13. State of Artificial Intelligence 2022 (Ep. 196)

    Udgivet: 6.5.2022
14. Improving your AI by finding issues within data pockets (Ep. 195)

    Udgivet: 21.4.2022
15. Fake data that looks, feels, and behaves like production.(Ep.194)

    Udgivet: 13.4.2022
16. Batteries and AI in Automotive (Ep. 193)

    Udgivet: 1.4.2022
17. Collect data at the edge [RB] (Ep. 192)

    Udgivet: 25.3.2022
18. Bayesian Machine Learning with Ravin Kumar (Ep. 191)

    Udgivet: 19.3.2022
19. What is spatial data science? With Matt Forest from Carto (Ep. 190)

    Udgivet: 2.3.2022
20. Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)

    Udgivet: 22.2.2022