Completed
Machine Monitoring
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Positive Unlabeled Learning for Tiny ML
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Summit Sponsors
- 3 The Classification Problem
- 4 The Positive Unlabeled Problem
- 5 Wearable Sensors for Health Monitor
- 6 Early Novel Disease Detection
- 7 Machine Monitoring
- 8 Wildlife Monitoring
- 9 Assumption 2: The SCAR Assumption
- 10 The 2-Step Approach
- 11 The Weighted Approach
- 12 Logistic Regression - Refresher
- 13 The MLR is a Non-Traditional Classifieds
- 14 A Modified Logistic Regression Non-Traditional PU Classifier
- 15 A Non-Traditional Classifier
- 16 Intuition Digression
- 17 MLR Algorithm
- 18 A Modified Logistic Regression - It Works
- 19 MNIST: 60,000 Handwritten Digits
- 20 MNIST Dataset 3s vs 5s
