Data Science at Home

264 Episodes

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 2/22/2022