张正友相机标定方法，经典论文，英文原文----A Flexible New Technique for Camera Calibration

之前的积分系统调的太高了，我重新上传一份。实现简单网页+java后台+数据库对标题和内容进行增删改查

一种新科学A new kind of science便捷版// * [导语]// * [第一章 一种新科学的建立基础]// * [第二章 关键的实验]// * [第三章 简单程序的世界]// * [第四章 基于数字的系统]// * [第五章 二维及之上]// * [导语]/ * [元胞自动机]/ * [图灵机]/ * [替换系统与分形]/ * [网络系统]/ * [第六章 由随机开始]// * [第七章 程序与自然中的机制]// * [第八章 日常系统的启示]// * [第九章 基础物理]// * [第十章 感知和分析的过程]// * [第十一章 计算等价性原理]///

国际标准39节电参数数据库，由IEEE统一规定的，可用于psasp软件仿真

Unity官方商店的UI付费工具集，New UI Widgets，很多上线游戏项目组都在使用，这是New UI Widgets，2019年初最新版本哦，官方地址：https://assetstore.unity.com/packages/tools/gui/new-ui-widgets-27226

wingIDE 使用的字体：Simsun Courier New.ttf 默认时 使用 Courier New 字体，中文显示乱码，通过 Edit -> Preferences -> User Interface，Source Code Font/Size -> User Selected Font/Size，修改为宋体，能正常显示中文，但习惯 Courier New 字体的程序猿就郁闷了... 这个字体实际是宋体和 Courier New 的混血，虽没什么技术含量，至少比那些简单混合的字体漂亮多咧。

微软雅黑Monaco字体——最适合编程的字体； 微软雅黑Courier New字体——最适合编程的字体

一种改进的减小papr的低复杂度的pts方法

公交线路查询系统的设计与实现系统毕业设计参考,线路查询、站点查询、信息管理

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning -- the foundation of efforts to process that data into knowledge -- has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security. Table of Contents Chapter 1 Why We Are Interested In Machine Learning Chapter 2 Machine Learning, Statistics, And Data Analytics Chapter 3 Pattern Recognition Chapter 4 Neural Networks And Deep Learning Chapter 5 Learning Clusters And Recommendations Chapter 6 Learning To Take Actions Chapter 7 Where Do We Go From Here?