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Machine Learning for Decision Makers

Cognitive Computing Fundamentals for Better Decision Making

  • Patanjali Kashyap

Table of contents

  1. Front Matter
    Pages i-xxxv
  2. Patanjali Kashyap
    Pages 1-34
  3. Patanjali Kashyap
    Pages 35-90
  4. Patanjali Kashyap
    Pages 189-233
  5. Patanjali Kashyap
    Pages 235-260
  6. Patanjali Kashyap
    Pages 315-318
  7. Back Matter
    Pages 319-355

About this book

Introduction

Take a deep dive into the essential elements of machine learning. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Managers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing. 

This book introduces a collection of the most important fundamental concepts of machine learning and its associated fields. These concepts span the process from envisioning the problem to applying machine-learning techniques to the enterprise. This discussion also provides an insight to help deploy the results to improve decision-making.


The book uses practical examples and use cases that will help you grasp the concepts of machine learning quickly. It concludes with a section on how using this technology will become a game-changer in the years to come.

You will:
  • 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
  • See the latest research, trends, and security frameworks in the machine learning space
  • Use machine-learning best practices

Keywords

Machine Learning Big Data Bayesian Networks Artificial Neural Networks Vector Machines Cloud IoT Security Cognitive Computing Decision Trees

Authors and affiliations

  • Patanjali Kashyap
    • 1
  1. 1.BangaloreIndia

Bibliographic information

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