Data Science at Home

264 Episodo

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

   Publicado: 21/11/2022
2. Evolution of data platforms (Ep. 209)

   Publicado: 8/11/2022
3. [RB] Is studying AI in academia a waste of time? (Ep. 208)

   Publicado: 2/11/2022
4. Private machine learning done right (Ep. 207)

   Publicado: 25/10/2022
5. Edge AI for applications in military and space (Ep. 206)

   Publicado: 15/10/2022
6. [RB] What are generalist agents and why they can change the AI game (Ep. 205)

   Publicado: 5/10/2022
7. LIDAR, cameras and autonomous vehicles (Ep. 204)

   Publicado: 28/9/2022
8. Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)

   Publicado: 20/9/2022
9. Is studying AI in academia a waste of time? (Ep. 202)

   Publicado: 13/9/2022
10. Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)

    Publicado: 7/9/2022
11. Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)

    Publicado: 27/5/2022
12. Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

    Publicado: 16/5/2022
13. State of Artificial Intelligence 2022 (Ep. 196)

    Publicado: 6/5/2022
14. Improving your AI by finding issues within data pockets (Ep. 195)

    Publicado: 21/4/2022
15. Fake data that looks, feels, and behaves like production.(Ep.194)

    Publicado: 13/4/2022
16. Batteries and AI in Automotive (Ep. 193)

    Publicado: 1/4/2022
17. Collect data at the edge [RB] (Ep. 192)

    Publicado: 25/3/2022
18. Bayesian Machine Learning with Ravin Kumar (Ep. 191)

    Publicado: 19/3/2022
19. What is spatial data science? With Matt Forest from Carto (Ep. 190)

    Publicado: 2/3/2022
20. Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)

    Publicado: 22/2/2022