Service-Oriented Architecture Analysis and Design for Services and Microservices(2nd) 英文azw3 第2版 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

《C Primer Plus(中文版)(第5版)》共17章，介绍了C语言的基础知识，包括数据类型、格式化输入输出、运算符、表达式、流程控制语句、函数、数组和指针、字符串操作、内存管理、位操作等，知识内容都针对C99标准；另外，《C Primer Plus(中文版)(第5版)》强化了对指针的讨论，并引入了动态内存分配的概念，也讨论了C预处理器和C库函数、高级数据表示（数据结构）方面的内容。

Mastering OpenCV 3 - Second Edition by Daniel Lélis Baggio English | 4 May 2017 | ASIN: B01N7G0BKE | 250 Pages | AZW3 | 4.82 MB Key Features Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3 Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications Each chapter is a tutorial for an entire project from start to finish, showing you how to apply OpenCV to solve complete problems Book Description As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3. What you will learn Execute basic image processing operations and cartoonify an image Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video Use OpenCV 3’s new 3D visualization framework to illustrate the 3D scene geometry Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks Train and predict pattern-recognition algorithms to decide whether an image is a number plate Use POSIT for the six degrees of freedom head pose Train a face recognition database using deep learning and recognize faces from that database

Mastering Embedded Linux Programming(2nd) 英文azw3 第2版 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

Oracle Database 12c Release 2 Performance Tuning Tips and Techniques 英文azw3 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

This simple book is meant to get you started in programming. The title says it’s the hard way to learn to write code, but it’s actually not. It’s only the “hard” way because it uses a technique called instruction. Instruction is where I tell you to do a sequence of controlled exercises designed to build a skill through repetition. This technique works very well with beginners who know nothing and need to acquire basic skills before they can understand more complex topics. It’s used in everything from martial arts to music to even basic math and reading skills.

产品经理这个职位向来争议颇多，国内一线的产品经理一直生活在水深火热之中，很悲催，很“苦逼”，他们无时无刻不在痛苦中煎熬。互联网公司对产品经理的要求也越来越高，他们要求产品经理拥有产品成功案例，可是做成一款产品越来越难了，成功的概率也越来越低了，因此产品经理的简历也越来越不好看了。这些都是客观存在的事实，这些事实都符合幂律法则，毕竟成功的产品占少数。产品从无到有，从有到优是一项极其复杂的工程，这项工程有着复杂的关键环节，只要其中一个环节比较薄弱，产品失败的可能性就会大大增加。一款成功产品的背后隐藏着非常复杂的社会背景因素，而这些因素一般不为外人所知，那些有着产品成功案例的产品经理，分享的时候说的都是些能登上大雅之堂的话，产品成功背后的关键要素却不愿或不知道从哪提起。这跟产品经理做需求分析的道理是一致的，用户的核心需求不会直接告诉你，需要你去深刻地发现和洞察。

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Essentials of Programming in Mathematica 英文azw3 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

ARM Assembly Language Programming & Architecture 英文azw3 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除