（免积分下载）Building Intelligent Systems: A Guide to Machine Learning Engineering

Building Intelligent Systems: A Guide to Machine Learning Engineering

Apress Building Intelligent Systems：A Guide to Machine Learning Engineering.pdf

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 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: Achieve your objectives and 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

This Book Is For

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

Table of Contents

Part I: Approaching an Intelligent Systems ProjectChapter 1: Introducing Intelligent SystemsChapter 2: Knowing When to Use Intelligent SystemsChapter 3: A Brief Refresher on Working with DataChapter 4: Defining the Intelligent System’s GoalsPart II: Intelligent ExperiencesChapter 5: The Components of Intelligent ExperiencesChapter 6: Why Creating Intelligent Experiences Is HardChapter 7: Balancing Intelligent ExperiencesChapter 8: Modes of Intelligent InteractionChapter 9: Getting Data from ExperienceChapter 10: Verifying Intelligent ExperiencesPart III: Implementing IntelligenceChapter 11: The Components of an Intelligence ImplementationChapter 12: The Intelligence RuntimeChapter 13: Where Intelligence LivesChapter 14: Intelligence ManagementChapter 15: Intelligent TelemetryPart IV: Creating IntelligenceChapter 16: Overview of IntelligenceChapter 17: Representing IntelligenceChapter 18: The Intelligence Creation ProcessChapter 19: Evaluating IntelligenceChapter 20: Machine Learning IntelligenceChapter 21: Organizing IntelligencePart V: Orchestrating Intelligent SystemsChapter 22: Overview of Intelligence OrchestrationChapter 23: The Intelligence Orchestration EnvironmentChapter 24: Dealing with MistakesChapter 25: Adversaries and AbuseChapter 26: Approaching Your Own Intelligent System

下载地址：Apress Building Intelligent Systems：A Guide to Machine Learning Engineering.pdf

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