Geoff Hulten
Building Intelligent Systems: A Guide to Machine Learning Engineering
Building Intelligent Systems: A Guide to Machine Learning Engineering
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- More about Building Intelligent Systems: A Guide to Machine Learning Engineering
This book teaches how to build an Intelligent System from end to end and leverages machine learning in practice. It is based on over a decade of experience building Internet-scale Intelligent Systems and is for software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.
Format: Paperback / softback
Length: 339 pages
Publication date: 07 March 2018
Publisher: APress
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.
Weight: 716g
Dimension: 256 x 178 x 21 (mm)
ISBN-13: 9781484234310
Edition number: 1st ed.
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