課程大綱：基于Azure ML Studio的機(jī)器學(xué)習(xí)管道培訓(xùn)
Project: Machine Learning Pipelines with Azure ML Studio
Welcome to this project-based course on Azure Machine Learning Studio.
In this course, you are going to build an end-to-end machine learning pipeline,
all without writing a single line of code!
This course uses the Adult Census data set to train a model to predict an individual's income.
It predicts whether an individual's annual income
is greater than or less than $50,000.
The estimator used in this project is a
Two-Class Boosted Decision Tree classifier. Some of the features used
to train the model are age, education,
occupation, etc. Once you have scored and evaluated the model on the test data,
you will deploy the trained model as an Azure Machine Learning web service.
In just under an hour, you will be able to send new data to the web service API and receive the resulting predictions.
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