O'Reilly Data Show Podcast

60 Episoade

1. Machine learning for operational analytics and business intelligence

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

   Publicat: 26.09.2019
3. Understanding deep neural networks

   Publicat: 12.09.2019
4. Becoming a machine learning practitioner

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

   Publicat: 15.08.2019
6. Make data science more useful

   Publicat: 01.08.2019
7. Acquiring and sharing high-quality data

   Publicat: 18.07.2019
8. Tools for machine learning development

   Publicat: 03.07.2019
9. Enabling end-to-end machine learning pipelines in real-world applications

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

    Publicat: 09.06.2019
11. Applications of data science and machine learning in financial services

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

    Publicat: 09.05.2019
13. Why companies are in need of data lineage solutions

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

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

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

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

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

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

    Publicat: 31.01.2019
20. How machine learning impacts information security

    Publicat: 17.01.2019