Data Science at Home

268 Episodes

1. Collect data at the edge [RB] (Ep. 192)

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

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

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

   Published: 2/22/2022
5. History of data science [RB] (Ep. 188)

   Published: 2/16/2022
6. Artificial Intelligence and Cloud Automation with Leon Kuperman from Cast.ai (Ep. 187)

   Published: 2/8/2022
7. Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)

   Published: 2/3/2022
8. Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)

   Published: 1/25/2022
9. Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)

   Published: 1/20/2022
10. Embedded Machine Learning: Part 2 (Ep. 183)

    Published: 1/15/2022
11. Embedded Machine Learning: Part 1 (Ep.182)

    Published: 1/10/2022
12. History of Data Science (Ep. 181)

    Published: 12/19/2021
13. Capturing Data at the Edge (Ep. 180)

    Published: 12/14/2021
14. [RB] Composable Artificial Intelligence (Ep. 179)

    Published: 12/7/2021
15. What is a data mesh and why it is relevant (Ep. 178)

    Published: 11/30/2021
16. Environmentally friendly AI (Ep. 177)

    Published: 11/23/2021
17. Do you fear of AI? Why? (Ep. 176)

    Published: 11/16/2021
18. Composable models and artificial general intelligence (Ep. 175)

    Published: 11/9/2021
19. Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

    Published: 11/2/2021
20. Is neural hash by Apple violating our privacy? (Ep. 173)

    Published: 10/26/2021