O'Reilly Data Show Podcast

60 Episodes

1. Machine learning for operational analytics and business intelligence

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 1/17/2019