Data Science at Home

268 Episoder

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

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

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

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

   Udgivet: 22.2.2022
5. History of data science [RB] (Ep. 188)

   Udgivet: 16.2.2022
6. Artificial Intelligence and Cloud Automation with Leon Kuperman from Cast.ai (Ep. 187)

   Udgivet: 8.2.2022
7. Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)

   Udgivet: 3.2.2022
8. Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)

   Udgivet: 25.1.2022
9. Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)

   Udgivet: 20.1.2022
10. Embedded Machine Learning: Part 2 (Ep. 183)

    Udgivet: 15.1.2022
11. Embedded Machine Learning: Part 1 (Ep.182)

    Udgivet: 10.1.2022
12. History of Data Science (Ep. 181)

    Udgivet: 19.12.2021
13. Capturing Data at the Edge (Ep. 180)

    Udgivet: 14.12.2021
14. [RB] Composable Artificial Intelligence (Ep. 179)

    Udgivet: 7.12.2021
15. What is a data mesh and why it is relevant (Ep. 178)

    Udgivet: 30.11.2021
16. Environmentally friendly AI (Ep. 177)

    Udgivet: 23.11.2021
17. Do you fear of AI? Why? (Ep. 176)

    Udgivet: 16.11.2021
18. Composable models and artificial general intelligence (Ep. 175)

    Udgivet: 9.11.2021
19. Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

    Udgivet: 2.11.2021
20. Is neural hash by Apple violating our privacy? (Ep. 173)

    Udgivet: 26.10.2021