
Microsoft Azure Machine Learning Studio Pipelines
- Chapter 1: Introduction to Pipelines
- Chapter 2: Data Cleaning and Preparation
- Chapter 3: Algorithm Selection
- Chapter 4: Selecting the Features
- Chapter 5: Optimizing Model Fit and Performance
- Chapter 6: Natural Language Processing
- Chapter 7: Recommendation Engines
- Chapter 8: Final Project: Putting It All Together
- Supplement: Computer Vision (in progress)
- Supplement: Datasets