[Geoff Hulten] Building Intelligent Systems (2018)

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    [Geoff Hulten] Building Intelligent Systems (2018).jpg
    Автор: Geoff Hulten
    Название: Building Intelligent Systems
    Издательство: Apress
    Дата выпуска: 2018-05-21
    Количество страниц: 339

    Описание:
    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.

    Содержание:
    Part I: Approaching an Intelligent Systems Project
    Chapter 1: Introducing Intelligent Systems
    Chapter 2: Knowing When to Use Intelligent Systems
    Chapter 3: A Brief Refresher on Working with Data
    Chapter 4: Defining the Intelligent System’s Goals

    Part II: Intelligent Experiences
    Chapter 5: The Components of Intelligent Experiences
    Chapter 6: Why Creating Intelligent Experiences Is Hard
    Chapter 7: Balancing Intelligent Experiences
    Chapter 8: Modes of Intelligent Interaction
    Chapter 9: Getting Data from Experience
    Chapter 10: Verifying Intelligent Experiences

    Part III: Implementing Intelligence
    Chapter 11: The Components of an Intelligence Implementation
    Chapter 12: The Intelligence Runtime
    Chapter 13: Where Intelligence Lives
    Chapter 14: Intelligence Management
    Chapter 15: Intelligent Telemetry

    Part IV: Creating Intelligence
    Chapter 16: Overview of Intelligence
    Chapter 17: Representing Intelligence
    Chapter 18: The Intelligence Creation Process
    Chapter 19: Evaluating Intelligence
    Chapter 20: Machine Learning Intelligence
    Chapter 21: Organizing Intelligence

    Part V: Orchestrating Intelligent Systems
    Chapter 22: Overview of Intelligence Orchestration
    Chapter 23: The Intelligence Orchestration Environment
    Chapter 24: Dealing with Mistakes
    Chapter 25: Adversaries and Abuse
    Chapter 26: Approaching Your Own Intelligent System
     
    Последнее редактирование: 13 Апрель 2018