O'Reilly Data Show Podcast

60 Épisodes

1. What machine learning engineers need to know

   Publié: 29/03/2018
2. How to train and deploy deep learning at scale

   Publié: 15/03/2018
3. Using machine learning to monitor and optimize chatbots

   Publié: 06/03/2018
4. Unleashing the potential of reinforcement learning

   Publié: 01/03/2018
5. Graphs as the front end for machine learning

   Publié: 15/02/2018
6. Machine learning needs machine teaching

   Publié: 01/02/2018
7. How machine learning can be used to write more secure computer programs

   Publié: 18/01/2018
8. Bringing AI into the enterprise

   Publié: 04/01/2018
9. How machine learning will accelerate data management systems

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

    Publié: 07/12/2017
11. The current state of Apache Kafka

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

    Publié: 09/11/2017
13. Machine intelligence for content distribution, logistics, smarter cities, and more

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

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

    Publié: 28/09/2017
16. The state of machine learning in Apache Spark

    Publié: 14/09/2017
17. Effective mechanisms for searching the space of machine learning algorithms

    Publié: 31/08/2017
18. How Ray makes continuous learning accessible and easy to scale

    Publié: 17/08/2017
19. Why AI and machine learning researchers are beginning to embrace PyTorch

    Publié: 03/08/2017
20. How big data and AI will reshape the automotive industry

    Publié: 20/07/2017