Washington, Michael
Azure Machine Learning Studio for the Non-Data Scientist: Learn How to Create Experiments, Operationalize Them Using Excel and Angular .Net Core Applications, and Create Retraining Programs to Improve Predictive Results.
- ISBN 13:
- 9781548871123
- author:
- Washington, Michael
- format:
- Paperback
- publisher:
- Createspace Independent Publishing Platform
- language:
- English
- Publication Year:
- 2017
- Pages:
- 160
- Dimensions:
- 23.5 x 19.1 x 0.9 centimetres (0
- Genre:
- Computers, Computer Science, General,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Azure Machine Learning Studio for the Non-Data Scientist is a practical guide to creating predictive models using Microsoft Azure's web browser-based application. You'll learn how to create and deploy models as web services, operationalize them in Excel and Angular .Net Core applications, and improve predictive results with retraining programs.
This book covers the end-to-end process of building an Azure Machine Learning Studio application, from creating a workspace and designing experiments to scoring and evaluating models. You'll also discover how to create custom web services using Angular 2 and .Net Core, and how to use these services in Excel applications.
By following the steps outlined in this book, you'll gain hands-on experience with Azure Machine Learning Studio and develop the skills needed to build predictive models that deliver real-world results.
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