O'Reilly Data Show Podcast

60 Episodes

1. What machine learning engineers need to know

   Published: 3/29/2018
2. How to train and deploy deep learning at scale

   Published: 3/15/2018
3. Using machine learning to monitor and optimize chatbots

   Published: 3/6/2018
4. Unleashing the potential of reinforcement learning

   Published: 3/1/2018
5. Graphs as the front end for machine learning

   Published: 2/15/2018
6. Machine learning needs machine teaching

   Published: 2/1/2018
7. How machine learning can be used to write more secure computer programs

   Published: 1/18/2018
8. Bringing AI into the enterprise

   Published: 1/4/2018
9. How machine learning will accelerate data management systems

   Published: 12/21/2017
10. Machine learning at Spotify: You are what you stream

    Published: 12/7/2017
11. The current state of Apache Kafka

    Published: 11/22/2017
12. Building a natural language processing library for Apache Spark

    Published: 11/9/2017
13. Machine intelligence for content distribution, logistics, smarter cities, and more

    Published: 10/26/2017
14. Vehicle-to-vehicle communication networks can help fuel smart cities

    Published: 10/12/2017
15. Transforming organizations through analytics centers of excellence

    Published: 9/28/2017
16. The state of machine learning in Apache Spark

    Published: 9/14/2017
17. Effective mechanisms for searching the space of machine learning algorithms

    Published: 8/31/2017
18. How Ray makes continuous learning accessible and easy to scale

    Published: 8/17/2017
19. Why AI and machine learning researchers are beginning to embrace PyTorch

    Published: 8/3/2017
20. How big data and AI will reshape the automotive industry

    Published: 7/20/2017