Developing Machine Learning for Impact

Developing Machine Learning for Impact

GOTO Conferences via YouTube Direct link

What is not measured can't be improved

8 of 10
Previous
Next

8 of 10

What is not measured can't be improved

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Developing Machine Learning for Impact

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Intro
  2. 2 Why this talk?
  3. 3 ML as a tool, not a solution
  4. 4 Less is often more
  5. 5 Without data quality, there is no ML
  6. 6 Surviving the ML uncertainty
  7. 7 The importance of multidisciplinary teams
  8. 8 What is not measured can't be improved
  9. 9 Success stories
  10. 10 Outro

Never Stop Learning.

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

Sign up for free
Someone learning on their laptop while sitting on the floor.