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MLNET
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Classroom Contents
Introduction to ML.NET
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- 1 Introduction
- 2 Machine Learning
- 3 Is this a face
- 4 How do we build functions
- 5 Data
- 6 Classification
- 7 Cognitive Services
- 8 Building Models
- 9 Agenda
- 10 MLNET
- 11 GitHub Issue Classification
- 12 MultiClass Classification
- 13 Multiple Labels
- 14 Console Application
- 15 Pipeline
- 16 GitHub Issue
- 17 Pipeline Example
- 18 Supervised Learning
- 19 Label
- 20 Title
- 21 Numeric Vector
- 22 Glossary
- 23 Review
- 24 Favorite movies
- 25 Netflix
- 26 Population averages
- 27 Contentbased filtering
- 28 Data set
- 29 Factorization
- 30 Essence of Machine Learning
- 31 Demo
