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Creating & Deploying Microsoft Azure Machine Learning Studio Solutions

by Shawn Hainsworth

This course will provide an introduction to the power, flexibility and scalability of Azure Machine Learning. You will learn to implement the data science process, to prepare data and integrate data sources for use in machine learning experiments.

What you'll learn

Machine Learning and Data Science is an exciting, fast growing field which will provide you with the tools to gain deeper insights from your data. In this course, Creating & Deploying Microsoft Azure Machine Learning Studio Solutions, you'll be Creating & Deploying Microsoft Azure Machine Learning Studio Solutions. First, you’ll explore data import, cleansing, and transformation. Next, you’ll discover training, evaluating and refining Machine Learning Models. Finally, you’ll learn how to deploy and consume Predictive Web Services. When you’re finished with this course, you’ll know how to create data science experiments using a variety of machine learning algorithms using both a visual user interface and code first using Jupyter notebooks and Visual Studio Code.

About the author

Shawn has more than twenty-five years of experience as an architect and developer. Since 2011, Shawn has focused on business intelligence and machine learning. He has experience in Java, C#, R, Python, Hadoop, Mongo, Kafka, and Storm. He is a presenter at technology conferences and blogs as "The Legal BI Guy."

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