Building Intelligent Systems 免积分下载

本书教授如何构建和管理智能系统,涵盖软件工程、数据科学、机器学习等技能应用,通过实际案例讲解智能系统的创建、设计和实施过程。

图书说明:

生成功能齐全的智能系统,利用机器学习和用户交互的数据,随着时间的推移不断改进并取得成功。

本书教您如何从头到尾构建智能系统,并在实践中利用机器学习。您将了解如何将您现有的技能应用于软件工程,数据科学,机器学习,管理和程序管理,以生成工作系统。

构建智能系统基于十多年构建互联网规模智能系统的经验,该系统每天在世界上一些最大和最重要的软件系统中拥有数亿用户交互。

你将学到什么:

 

  • 理解智能系统的概念:什么是好的,何时需要,以及如何设置它以获得成功
  • 设计智能用户体验:实现目标并生成数据,以帮助智能系统随着时间的推移变得更好
  • 实施智能系统:在实践中执行,管理和测量智能系统
  • 创建智能:使用不同的方法,包括机器学习
  • 协调智能系统:在整个生命周期中将各个部件组合在一起,实现您想要的效果

下载地址: Building Intelligent Systems

 

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转载于:https://my.oschina.net/u/3070312/blog/2997653

Building Intelligent Systems is a book about leveraging machine learning in practice. It covers everything you need to produce a fully functioning Intelligent System, one that leverages machine learning and data from user interactions to improve over time and achieve success. After reading this book you’ll be able to design an Intelligent System end-to-end. You’ll know: • When to use an Intelligent System and how to make it achieve your goals. • How to design e ective interactions between users and Intelligent Systems. • How to implement an Intelligent System across client, service, and back end. • How to build the intelligence that powers an Intelligent System and grow it over time. • How to orchestrate an Intelligent System over its life-cycle. You’ll also understand how to apply your existing skills, whether in software engineering, data science, machine learning, management or program management to the effort. There are many great books that teach data and machine-learning skills. Those books are similar to books on programming languages; they teach valuable skills in great detail. This book is more like a book on software engineering; it teaches how to take those base skills and produce working systems. This book 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. I hope this book helps accelerate the proliferation of systems that turn data into impact and helps readers develop practical skills in this important area.
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