Continuous Intelligence - Keeping Your AI Application in Production

Continuous Intelligence - Keeping Your AI Application in Production

NDC Conferences via YouTube Direct link

Redeploy

16 of 27

16 of 27

Redeploy

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Continuous Intelligence - Keeping Your AI Application in Production

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

  1. 1 Introduction
  2. 2 Continuous Delivery for Machine Learning
  3. 3 Build Pipeline
  4. 4 Challenges
  5. 5 Reasons
  6. 6 More types of change
  7. 7 Pipelines
  8. 8 Stages
  9. 9 Technology stack
  10. 10 Demo
  11. 11 Delivery Pipelines
  12. 12 Continuous Intelligence Workshop
  13. 13 How it works
  14. 14 Red pipeline
  15. 15 DBC pull
  16. 16 Redeploy
  17. 17 Continuous Intelligent Cycle
  18. 18 Questions
  19. 19 How to package a model
  20. 20 Bringing data scientists and developers closer
  21. 21 Data versioning
  22. 22 Evaluation stage
  23. 23 Test stage
  24. 24 Supervised learning
  25. 25 Working together
  26. 26 Continuous monitoring
  27. 27 Monitoring

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.