这是关于优化算法的电子书，高清，最新版本，经典著作，英文版

英文版的汽车软件工程-原理.过程.方法.工具，原汁原味。

Software Engineering, 8th edition, Ian Sommerville 2006 全英文PDF版课件 第二版

需要读者有控制论的基础，是一本很系统的涵盖控制领域的所有命题 工程控制论.Engineering.Cybernetics[英文原版]钱学森

ees（engineering equation solver）资料 ，英语原文

本文档为《控制系统工程 6th(Norman S. Nise) Control Systems Engineering》课后习题答案，可适用于高等教育领域

代理模型经典入门书籍，高清含有目录标签。非常不错的阅读体验。

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 success Design an intelligent user experience: Achieve your objectives and 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 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 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: Implement