Machine Learning for Decision Makers : Cognitive Computing Fundamentals for Better Decision Making

✍ Scribed by Patanjali Kashyap

Publisher: Apress
Year: 2024
Tongue: English
Leaves: 355
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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.

✦ Table of Contents

Let’s Integrate with Machine Learning

Patanjali Kashyap

Pages 1-34
The Practical Concepts of Machine Learning

Patanjali Kashyap

Pages 35-90
Machine Learning Algorithms and Their Relationship with Modern Technologies

Patanjali Kashyap

Pages 91-136
Technology Stack for Machine Learning and Associated Technologies

Patanjali Kashyap

Pages 137-187
Industrial Applications of Machine Learning

Patanjali Kashyap

Pages 189-233
I Am the Future: Machine Learning in Action

Patanjali Kashyap

Pages 235-260
Innovation, KPIs, Best Practices, and More for Machine Learning

Patanjali Kashyap

Pages 261-279
Do Not Forget Me: The Human Side of Machine Learning

Patanjali Kashyap

Pages 281-314
Let’s Wrap Up: The Final Destination

Patanjali Kashyap

Pages 315-318
Back Matter

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