O'Reilly Data Show Podcast

60 Avsnitt

1. In the age of AI, fundamental value resides in data

   Publicerades: 2019-01-03
2. Trends in data, machine learning, and AI

   Publicerades: 2018-12-20
3. Tools for generating deep neural networks with efficient network architectures

   Publicerades: 2018-12-06
4. Building tools for enterprise data science

   Publicerades: 2018-11-21
5. Lessons learned while helping enterprises adopt machine learning

   Publicerades: 2018-11-08
6. Machine learning on encrypted data

   Publicerades: 2018-10-25
7. How social science research can inform the design of AI systems

   Publicerades: 2018-10-11
8. Why it’s hard to design fair machine learning models

   Publicerades: 2018-09-27
9. Using machine learning to improve dialog flow in conversational applications

   Publicerades: 2018-09-13
10. Building accessible tools for large-scale computation and machine learning

    Publicerades: 2018-08-30
11. Simplifying machine learning lifecycle management

    Publicerades: 2018-08-16
12. How privacy-preserving techniques can lead to more robust machine learning models

    Publicerades: 2018-08-02
13. Specialized hardware for deep learning will unleash innovation

    Publicerades: 2018-07-19
14. Data regulations and privacy discussions are still in the early stages

    Publicerades: 2018-07-05
15. Managing risk in machine learning models

    Publicerades: 2018-06-21
16. The real value of data requires a holistic view of the end-to-end data pipeline

    Publicerades: 2018-06-07
17. The evolution of data science, data engineering, and AI

    Publicerades: 2018-05-24
18. Companies in China are moving quickly to embrace AI technologies

    Publicerades: 2018-05-10
19. Teaching and implementing data science and AI in the enterprise

    Publicerades: 2018-04-26
20. The importance of transparency and user control in machine learning

    Publicerades: 2018-04-12