Building Intelligent Systems : A Guide to Machine Learning Engineering

Geoff Hulten

ISBN 10: 1484234316 / ISBN 13: 9781484234310

Published by Apress, Apress, 2018

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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 want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.

Seller Inventory # 9781484234310

Bibliographic Details

• Title: Building Intelligent Systems : A Guide to Machine Learning Engineering
• Publisher: Apress, Apress
• Publication Date: 2018
• Language: English
• ISBN 10: 1484234316
• ISBN 13: 9781484234310
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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

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.