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Introduction
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Classroom Contents
Machine Learning Under Test
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- 1 Introduction
- 2 Agenda
- 3 Linear Regression
- 4 Classification
- 5 Clustering
- 6 Supervisor Learning
- 7 Mush Learning
- 8 Complexity
- 9 Risk
- 10 Fault
- 11 Unit Test
- 12 Number Problems
- 13 Newbie Testing
- 14 MachFramer
- 15 Function
- 16 Output
- 17 Model performance
- 18 Cross validation
- 19 Train Test Plate
- 20 Confusion Matrix
- 21 Recommendation
