O'Reilly Data Show Podcast

60 Episodo

1. Machine learning for operational analytics and business intelligence

   Publicado: 10/10/2019
2. Machine learning and analytics for time series data

   Publicado: 26/9/2019
3. Understanding deep neural networks

   Publicado: 12/9/2019
4. Becoming a machine learning practitioner

   Publicado: 29/8/2019
5. Labeling, transforming, and structuring training data sets for machine learning

   Publicado: 15/8/2019
6. Make data science more useful

   Publicado: 1/8/2019
7. Acquiring and sharing high-quality data

   Publicado: 18/7/2019
8. Tools for machine learning development

   Publicado: 3/7/2019
9. Enabling end-to-end machine learning pipelines in real-world applications

   Publicado: 20/6/2019
10. Bringing scalable real-time analytics to the enterprise

    Publicado: 9/6/2019
11. Applications of data science and machine learning in financial services

    Publicado: 23/5/2019
12. Real-time entity resolution made accessible

    Publicado: 9/5/2019
13. Why companies are in need of data lineage solutions

    Publicado: 25/4/2019
14. What data scientists and data engineers can do with current generation serverless technologies

    Publicado: 11/4/2019
15. It’s time for data scientists to collaborate with researchers in other disciplines

    Publicado: 28/3/2019
16. Algorithms are shaping our lives—here’s how we wrest back control

    Publicado: 14/3/2019
17. Why your attention is like a piece of contested territory

    Publicado: 28/2/2019
18. The technical, societal, and cultural challenges that come with the rise of fake media

    Publicado: 14/2/2019
19. Using machine learning and analytics to attract and retain employees

    Publicado: 31/1/2019
20. How machine learning impacts information security

    Publicado: 17/1/2019