課程大綱： Azure Machine Learning培訓(xùn)
Introduction
Azure Machine Learning Overview
What is Azure Machine Learning?
Azure Machine learning features
Azure Machine Learning architecture
Preparing the Machine Learning Operations Environment
Setting up Azure Machine Learning lab environment
Data Processing
Importing and unzipping data and datasets
Transforming and cleaning data
Separating training data and test data
Classifications and Regressions
Creating binary and multi-binary models
Working with regression models
Tuning hyperparameters and parameters
Implementing predictive and impact analysis
Building decision trees and decision forests
Clustering
Implementing cluster analysis
NLP
Featuring and labeling data
Using text analysis
Recommender Systems
Working with Matchbox Recommender models
Deployment
Creating, exposing, and consuming machine learning model web services
Summary and Conclusion
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