O'Reilly Data Show Podcast

60 Folgen

1. What machine learning engineers need to know

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

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

   Vom: 6.3.2018
4. Unleashing the potential of reinforcement learning

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

   Vom: 15.2.2018
6. Machine learning needs machine teaching

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

   Vom: 18.1.2018
8. Bringing AI into the enterprise

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

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

    Vom: 7.12.2017
11. The current state of Apache Kafka

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

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

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

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

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

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

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

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

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

    Vom: 20.7.2017