Building Intelligent Systems: A Guide to Machine Learning Engineering

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Product Overview

Publisher	Apress; 1st ed. edition
ISBN 10	1484234316
Book Format	Paperback
Book Description	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 LearnUnderstand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for successDesign an intelligent user experience: Produce data to help make the Intelligent System better over timeImplement an Intelligent System: Execute, manage, and measure Intelligent Systems in practiceCreate intelligence: Use different approaches, including machine learningOrchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you wantWho This Book Is ForSoftware engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Publication Date	7 March 2018

ISBN 13	9781484234310
Author	Geoff Hulten
Language	English
About the Author	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.
Number of Pages	368 pages

Cart Total  239.00

Building Intelligent Systems: A Guide to Machine Learning Engineering

239.00

 239

Low stock: only 1 left