Apress - Building Intelligent Systems: A Guide To Machine Learning Engineering (2018 EN)

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    Author: Geoff Hulten
    Full Title: Building Intelligent Systems: A Guide To Machine Learning Engineering
    Publisher: Apress; 1st ed. edition (March 7, 2018)
    Year: 2018
    ISBN-13: 9781484234327 (978-1-4842-3432-7), 9781484234310 (978-1-4842-3431-0)
    ISBN-10: 1484234324, 1484234316
    Pages: 339
    Language: English
    Genre: Educational: Artificial Intelligence
    File type: EPUB (True), PDF (True)
    Quality: 10/10
    Price: 37.44 €


    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.


    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

    Features:
    ✓ 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

    Who This Book Is For:
    Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.

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