O'Reilly Data Show Podcast

60 Afleveringen

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

   Gepubliceerd: 3-1-2019
2. Trends in data, machine learning, and AI

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

   Gepubliceerd: 6-12-2018
4. Building tools for enterprise data science

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

   Gepubliceerd: 8-11-2018
6. Machine learning on encrypted data

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

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

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

   Gepubliceerd: 13-9-2018
10. Building accessible tools for large-scale computation and machine learning

    Gepubliceerd: 30-8-2018
11. Simplifying machine learning lifecycle management

    Gepubliceerd: 16-8-2018
12. How privacy-preserving techniques can lead to more robust machine learning models

    Gepubliceerd: 2-8-2018
13. Specialized hardware for deep learning will unleash innovation

    Gepubliceerd: 19-7-2018
14. Data regulations and privacy discussions are still in the early stages

    Gepubliceerd: 5-7-2018
15. Managing risk in machine learning models

    Gepubliceerd: 21-6-2018
16. The real value of data requires a holistic view of the end-to-end data pipeline

    Gepubliceerd: 7-6-2018
17. The evolution of data science, data engineering, and AI

    Gepubliceerd: 24-5-2018
18. Companies in China are moving quickly to embrace AI technologies

    Gepubliceerd: 10-5-2018
19. Teaching and implementing data science and AI in the enterprise

    Gepubliceerd: 26-4-2018
20. The importance of transparency and user control in machine learning

    Gepubliceerd: 12-4-2018