Machine learning for decision makers: cognitive computing fundamentals for better decision making

By:

Kashyap, Patanjali

Material type: Text

TextPublication details: Apress New York 2021Edition: 2ndDescription: xxxv, 355 pISBN:

9781484240434

Subject(s):

DDC classification:

519.542 KAS

Summary: About this book Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. 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.

List(s) this item appears in: IT & Decision Sciences | Marketing

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	519.542 KAS (Browse shelf(Opens below))	1	Available		003720

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Previous	519.535 HAI Multivariate data analysis	519.535 MER Advanced and multivariate statistical methods:	519.536 URI Quantile regression for cross-sectional and time series data	519.542 KAS Machine learning for decision makers:	519.542 PET An introduction to decision theory	519.542 SCU Bayesian networks with examples in R	519.6 DOU Robustness analysis in decision aiding, optimization, and analytics	Next

About this book
Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.

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.

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