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Free and Open Machine Learning
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  • Title Free and Open Machine Learning
  • Author(s) Maikel Mardjan
  • Publisher: Independently published (March 21, 2020); eBook (Living Document, Constantly Updating)
  • License(s): CC BY-SA 4.0
  • Paperback 268 pages
  • eBook HTML and PDF
  • Language: English
  • ISBN-10/ASIN: B0863S9LQ5
  • ISBN-13: 979-8628766279
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Book Description

This book describes an open machine learning architecture. Including key aspects that are involved for real business use. It focuses on Free and Open Source Software (FOSS) machine learning software and open datasets.

This book is created to promote and advocate the use of FOSS machine learning for real practical business use cases. Machine learning is a fascinating technology.

Free and Open machine learning should be the norm for business innovation. So simple to use for complex problems.Key machine learning concepts are outlined and a conceptual and logical reference for free and open machine learning architecture is given.

This book is created for everyone who wants to learn and get started with machine learning without being already forced into a specific solution.

Creating Machine learning applications is possible with the use of FOSS building blocks only and on premise. This book crucial outlines machine learning concepts, but will not go into mathematical or technical details. After reading this book you will have a more complete and realistic overview of the possibilities applying machine learning (ML) for your use cases.

This book empowers everyone to make a head start using the powerful machine learning technology in a Free, Open and Simple way.

About the Authors
  • Maikel Mardjan is a hands-on practical business IT architect and loves to make simple designs for complex IT systems.
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