Overview
Explains the business challenges and applications of machine learning in big data, IoT, and cloud and cognitive computing in different fields and domains
Includes matrices, KPIs, and performance measures for the machine learning ecosystem
Covers recent advancements and future directions of machine learning
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.
The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.
What You Will Learn
- Discover the machine learning, big data, and cloud and cognitive computing technology stack
- Gain insights into machine learning concepts and practices
- Understand business and enterprise decision-making using machine learning
- Absorb machine-learning best practices
Who This Book Is For
Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.
Reviews
Authors and Affiliations
About the author
Dr. Patanjali Kashyap hold a degree in Ph.D. (physics) and MCA. Currently he is working as a technology manager in a leading American bank. Professionally he deals with high impact mission critical financial and innovative new generation technology projects on day to day basis. He has worked with the technology giants like Infosys and Cognizant technology solutions. He is an expert of the agile process, machine learning, big data, and cloud computing paradigm. He possesses sound understanding of Microsoft Azure and cognitive computing platforms like Watson and Microsoft cognitive services. He introduces .net technologies as his first love to his friends and colleague. Patanjali has worked on spectrum of .net and associated technologies like Sql server and component based architecture from their inception. Few other technologies on which he loves to work on are SharePoint (content management in general), knowledge management, positive technology, psychological computing and UNIX. He is vastly experienced in Software development methodologies, Application support and maintenance.
He possesses a restless mind which is always looking for innovation and is involved in idea generation for all walks of life including spirituality, positive psychology, brain science and cutting-edge technologies. He is a strong believer in cross/ inter disciplinary study. His view of “everything is linked with the other” reflects in his work. For example, he has filed a patent on improving and measuring the performance of an individual by using emotional, social, moral and vadantic intelligence. Which presents a unique novel synthesis of management science, physics, information technology and organizational behaviour.
Patanjali has published several research and white papers on multiple topics. He is involved in a lot of organizational initiatives like building world class teams and dynamic culture across enterprises. He is a go-to person for incorporating “positivity and enthusiasm” in the enterprises. His fresh way of synthesizing “Indian Vedic philosophies with the western practical management insight for building flawless organizational dynamics is much appreciated in the corporate circle. He is a real implementer of ancient mythologies at modern work place. Patanjali is also involved in the leadership development and building growth frameworks for the same.
Apart from MCA patanjali holds masters in bioinformatics, physics and computer science (M.Phil.).
Bibliographic Information
Book Title: Machine Learning for Decision Makers
Book Subtitle: Cognitive Computing Fundamentals for Better Decision Making
Authors: Patanjali Kashyap
DOI: https://doi.org/10.1007/978-1-4842-2988-0
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Patanjali Kashyap 2017
eBook ISBN: 978-1-4842-2988-0Published: 04 January 2018
Edition Number: 1
Number of Pages: XXXV, 355
Number of Illustrations: 6 b/w illustrations, 33 illustrations in colour
Topics: Artificial Intelligence, Software Engineering, Algorithm Analysis and Problem Complexity