Data Science at Home

268 Avsnitt

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

   Publicerades: 2022-03-25
2. Bayesian Machine Learning with Ravin Kumar (Ep. 191)

   Publicerades: 2022-03-19
3. What is spatial data science? With Matt Forest from Carto (Ep. 190)

   Publicerades: 2022-03-02
4. Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)

   Publicerades: 2022-02-22
5. History of data science [RB] (Ep. 188)

   Publicerades: 2022-02-16
6. Artificial Intelligence and Cloud Automation with Leon Kuperman from Cast.ai (Ep. 187)

   Publicerades: 2022-02-08
7. Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)

   Publicerades: 2022-02-03
8. Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)

   Publicerades: 2022-01-25
9. Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)

   Publicerades: 2022-01-20
10. Embedded Machine Learning: Part 2 (Ep. 183)

    Publicerades: 2022-01-15
11. Embedded Machine Learning: Part 1 (Ep.182)

    Publicerades: 2022-01-10
12. History of Data Science (Ep. 181)

    Publicerades: 2021-12-19
13. Capturing Data at the Edge (Ep. 180)

    Publicerades: 2021-12-14
14. [RB] Composable Artificial Intelligence (Ep. 179)

    Publicerades: 2021-12-07
15. What is a data mesh and why it is relevant (Ep. 178)

    Publicerades: 2021-11-30
16. Environmentally friendly AI (Ep. 177)

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

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

    Publicerades: 2021-11-09
19. Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)

    Publicerades: 2021-11-02
20. Is neural hash by Apple violating our privacy? (Ep. 173)

    Publicerades: 2021-10-26