How We Built a Highly Scalable Machine Learning Platform Using Apache Mesos

How We Built a Highly Scalable Machine Learning Platform Using Apache Mesos

Linux Foundation via YouTube Direct link

A new platform

9 of 21

9 of 21

A new platform

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

How We Built a Highly Scalable Machine Learning Platform Using Apache Mesos

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Machine Translation quality improvements
  3. 3 Adaptive Machine Translation idea
  4. 4 Update Example - EngFra
  5. 5 Update Example: Translation Model Adaptation
  6. 6 Neural MT in the Cloud
  7. 7 How can we do this?
  8. 8 What we had before?
  9. 9 A new platform
  10. 10 Architecture evolution
  11. 11 Lessons Learned
  12. 12 Cost efficient
  13. 13 Security
  14. 14 Platform high availability
  15. 15 Resource allocation
  16. 16 Releases are not as easy as expected
  17. 17 Investigations become more complex
  18. 18 Independent microservices
  19. 19 Periodically reevaluate assumptions
  20. 20 Future improvements
  21. 21 Demo Time!

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.