Get ready for Ignite with 40% off every Microsoft print & eBook >>

Building Intelligent Systems

A Guide to Machine Learning Engineering

Authors: Hulten, Geoff

  • Shows you how to plan for the various phases of an intelligent system from implementation to operation—what is required to succeed, and when it is time to progress
  • Teaches you how to craft experiences that collect the data needed to evaluate and grow intelligence
  • Describes how to design a system to take over model production from humans once the creation process has become reasonably routine
see more benefits

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3432-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3431-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.
This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.
Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world.

What You’ll Learn

  • Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success
  • Design an intelligent user experience: Produce data to help make the Intelligent System better over time
  • Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice
  • Create intelligence: Use different approaches, including machine learning
  • Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want

Who This Book Is For

Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems

About the authors

Geoff Hulten is a Machine Learning Scientist and PhD in machine learning. He has managed applied machine learning teams for over a decade, building dozens of Internet-scale Intelligent Systems that have hundreds of millions of interactions with users every day. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.

Table of contents (26 chapters)

  • Introducing Intelligent Systems

    Hulten, Geoff

    Pages 3-13

  • Knowing When to Use Intelligent Systems

    Hulten, Geoff

    Pages 15-24

  • A Brief Refresher on Working with Data

    Hulten, Geoff

    Pages 25-34

  • Defining the Intelligent System’s Goals

    Hulten, Geoff

    Pages 35-49

  • The Components of Intelligent Experiences

    Hulten, Geoff

    Pages 53-62

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3432-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3431-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

Services for this book

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Building Intelligent Systems
Book Subtitle
A Guide to Machine Learning Engineering
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Geoff Hulten
eBook ISBN
978-1-4842-3432-7
DOI
10.1007/978-1-4842-3432-7
Softcover ISBN
978-1-4842-3431-0
Edition Number
1
Number of Pages
XXVI, 339
Number of Illustrations and Tables
19 b/w illustrations
Topics