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Building Intelligent Systems

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Cover of 'Building Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introducing Intelligent Systems
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    Chapter 2 Knowing When to Use Intelligent Systems
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    Chapter 3 A Brief Refresher on Working with Data
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    Chapter 4 Defining the Intelligent System’s Goals
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    Chapter 5 The Components of Intelligent Experiences
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    Chapter 6 Why Creating Intelligent Experiences Is Hard
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    Chapter 7 Balancing Intelligent Experiences
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    Chapter 8 Modes of Intelligent Interaction
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    Chapter 9 Getting Data from Experience
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    Chapter 10 Verifying Intelligent Experiences
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    Chapter 11 The Components of an Intelligence Implementation
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    Chapter 12 The Intelligence Runtime
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    Chapter 13 Where Intelligence Lives
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    Chapter 14 Intelligence Management
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    Chapter 15 Intelligent Telemetry
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    Chapter 16 Overview of Intelligence
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    Chapter 17 Representing Intelligence
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    Chapter 18 The Intelligence Creation Process
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    Chapter 19 Evaluating Intelligence
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    Chapter 20 Machine Learning Intelligence
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    Chapter 21 Organizing Intelligence
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    Chapter 22 Overview of Intelligence Orchestration
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    Chapter 23 The Intelligence Orchestration Environment
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    Chapter 24 Dealing with Mistakes
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    Chapter 25 Adversaries and Abuse
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    Chapter 26 Approaching Your Own Intelligent System
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Title
Building Intelligent Systems
Published by
Apress, May 2018
DOI 10.1007/978-1-4842-3432-7
ISBNs
978-1-4842-3431-0, 978-1-4842-3432-7
Authors

Hulten, Geoff

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Professor > Associate Professor 2 9%
Student > Ph. D. Student 2 9%
Student > Doctoral Student 1 4%
Researcher 1 4%
Other 1 4%
Unknown 13 57%
Readers by discipline Count As %
Computer Science 9 39%
Engineering 1 4%
Unknown 13 57%