O'Reilly Data Show Podcast

60 Odcinki

1. Machine learning for operational analytics and business intelligence

   Opublikowany: 10.10.2019
2. Machine learning and analytics for time series data

   Opublikowany: 26.09.2019
3. Understanding deep neural networks

   Opublikowany: 12.09.2019
4. Becoming a machine learning practitioner

   Opublikowany: 29.08.2019
5. Labeling, transforming, and structuring training data sets for machine learning

   Opublikowany: 15.08.2019
6. Make data science more useful

   Opublikowany: 1.08.2019
7. Acquiring and sharing high-quality data

   Opublikowany: 18.07.2019
8. Tools for machine learning development

   Opublikowany: 3.07.2019
9. Enabling end-to-end machine learning pipelines in real-world applications

   Opublikowany: 20.06.2019
10. Bringing scalable real-time analytics to the enterprise

    Opublikowany: 9.06.2019
11. Applications of data science and machine learning in financial services

    Opublikowany: 23.05.2019
12. Real-time entity resolution made accessible

    Opublikowany: 9.05.2019
13. Why companies are in need of data lineage solutions

    Opublikowany: 25.04.2019
14. What data scientists and data engineers can do with current generation serverless technologies

    Opublikowany: 11.04.2019
15. It’s time for data scientists to collaborate with researchers in other disciplines

    Opublikowany: 28.03.2019
16. Algorithms are shaping our lives—here’s how we wrest back control

    Opublikowany: 14.03.2019
17. Why your attention is like a piece of contested territory

    Opublikowany: 28.02.2019
18. The technical, societal, and cultural challenges that come with the rise of fake media

    Opublikowany: 14.02.2019
19. Using machine learning and analytics to attract and retain employees

    Opublikowany: 31.01.2019
20. How machine learning impacts information security

    Opublikowany: 17.01.2019