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Assumption 2: The SCAR Assumption
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Classroom Contents
Positive Unlabeled Learning for Tiny ML
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- 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
