Building Intelligent Systems

A Guide to Machine Learning Engineering

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Building Intelligent Systems by Geoff Hulten, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Geoff Hulten ISBN: 9781484234327
Publisher: Apress Publication: March 6, 2018
Imprint: Apress Language: English
Author: Geoff Hulten
ISBN: 9781484234327
Publisher: Apress
Publication: March 6, 2018
Imprint: Apress
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

Who This Book Is For

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

More books from Apress

Cover of the book Pro MongoDB Development by Geoff Hulten
Cover of the book Oracle ADF Survival Guide by Geoff Hulten
Cover of the book Managing Your Outsourced IT Services Provider by Geoff Hulten
Cover of the book Creating Blogs with Jekyll by Geoff Hulten
Cover of the book Android Continuous Integration by Geoff Hulten
Cover of the book Microsoft Azure Cosmos DB Revealed by Geoff Hulten
Cover of the book Marketing Analytics Roadmap by Geoff Hulten
Cover of the book Windows 10 for the Internet of Things by Geoff Hulten
Cover of the book Creating Maintainable APIs by Geoff Hulten
Cover of the book Practical IPv6 for Windows Administrators by Geoff Hulten
Cover of the book Windows Group Policy Troubleshooting by Geoff Hulten
Cover of the book Practical Information Security Management by Geoff Hulten
Cover of the book Web Applications with Elm by Geoff Hulten
Cover of the book Moving to Office 365 by Geoff Hulten
Cover of the book Pro JavaScript Development by Geoff Hulten
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy