O'Reilly Data Show Podcast

60 Episoder

1. What machine learning engineers need to know

   Publisert: 29.3.2018
2. How to train and deploy deep learning at scale

   Publisert: 15.3.2018
3. Using machine learning to monitor and optimize chatbots

   Publisert: 6.3.2018
4. Unleashing the potential of reinforcement learning

   Publisert: 1.3.2018
5. Graphs as the front end for machine learning

   Publisert: 15.2.2018
6. Machine learning needs machine teaching

   Publisert: 1.2.2018
7. How machine learning can be used to write more secure computer programs

   Publisert: 18.1.2018
8. Bringing AI into the enterprise

   Publisert: 4.1.2018
9. How machine learning will accelerate data management systems

   Publisert: 21.12.2017
10. Machine learning at Spotify: You are what you stream

    Publisert: 7.12.2017
11. The current state of Apache Kafka

    Publisert: 22.11.2017
12. Building a natural language processing library for Apache Spark

    Publisert: 9.11.2017
13. Machine intelligence for content distribution, logistics, smarter cities, and more

    Publisert: 26.10.2017
14. Vehicle-to-vehicle communication networks can help fuel smart cities

    Publisert: 12.10.2017
15. Transforming organizations through analytics centers of excellence

    Publisert: 28.9.2017
16. The state of machine learning in Apache Spark

    Publisert: 14.9.2017
17. Effective mechanisms for searching the space of machine learning algorithms

    Publisert: 31.8.2017
18. How Ray makes continuous learning accessible and easy to scale

    Publisert: 17.8.2017
19. Why AI and machine learning researchers are beginning to embrace PyTorch

    Publisert: 3.8.2017
20. How big data and AI will reshape the automotive industry

    Publisert: 20.7.2017