Machine Learning for Decision Makers

Cognitive Computing Fundamentals for Better Decision Making de

Éditeur :

Apress


Paru le : 2018-01-04

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Description


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 usescase 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 learningAbsorb 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.


Pages
355 pages
Collection
n.c
Parution
2018-01-04
Marque
Apress
EAN papier
9781484229873
EAN PDF
9781484229880

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
4925 Ko
Prix
46,34 €
EAN EPUB
9781484229880

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
2734 Ko
Prix
46,34 €

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