Recent Advances in Machine Learning with Applications to Internet of Things - Adam McElhinney

Recent Advances in Machine Learning with Applications to Internet of Things - Adam McElhinney

Open Data Science via YouTube Direct link

Intro

1 of 15

1 of 15

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Recent Advances in Machine Learning with Applications to Internet of Things - Adam McElhinney

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

  1. 1 Intro
  2. 2 Overview of loT
  3. 3 Buckets of Use Cases
  4. 4 Use case: fleet management
  5. 5 Use case: on-time- in-fill shipping
  6. 6 Failure prediction example
  7. 7 What is the value of prognostics?
  8. 8 Challenge Connectivity
  9. 9 Failure and Repair Data Unreliable and
  10. 10 Failures Dispersed Across Many Types
  11. 11 Large Quantity of Signal Data
  12. 12 Challenge Sensor Limitations
  13. 13 Strengths
  14. 14 Neural networks
  15. 15 Transfer learning

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.