机器学习——支持向量机SVM算法python实现

Data Compression Huffman Coding Example Create an huffman alphabet for the input string Python 2.7 necessary (not tested Python 3.0). For windows just run huffman.bat

说明：  多核lssvm的实现，自己在原有单核基础上的改进(Implementation of multi core LSSVM)

说明：  DLIB FOR PYTHON Development

说明：  python机器学习算法，相关算法的python实现。(Python machine learning algorithm)

说明：  开发一个培训收费网站的代码文件，供大家参考学习(code sampleb for a web service ,just like learning)

通过Python实现的桥梁管理系统 桌面程序，管理桥梁的各类参数。实现登录功能及各种参数管理，权限管理。(bridge infomation system)

飞机大战

说明：  Gaot_v5工具箱，遗传算法工具箱Gaot_v5包括许多实用的函数，各种算子函数，各 种类型的选择方式，交叉、变异方式。这些函数按照功能(Gaot_v5The toolbox of genetic algorithm GAOT? V5 includes many practical functions, various operator functions, and Three types of selection, cross and variation. These functions follow the function)

是一个关于用ABAQUS进行混凝土微观分析的cae文件和混凝土回弹的cae，可以直接导入ABAQUS，也可以模拟裂缝，进行更改，本程序只为研究服务(Cae file on a microscopic analysis of concrete with ABAQUS, you can directly import the ABAQUS, you can simulate the crack, make changes, this program is only for research services)

第1章　赋予计算机学习数据的能力 1.1　构建智能机器将数据转化为知识 1.2　机器学习的三种不同方法 1.2.1　通过监督学习对未来事件进行预测 1.2.2　通过强化学习解决交互式问题 1.2.3　通过无监督学习发现数据本身潜在的结构 1.2.4　基本术语及符号介绍 1.3　构建机器学习系统的蓝图(Chapter 1 Enables Computers to Learn Data 1.1 Building Intelligent Machines to Transform Data into Knowledge 1.2 Three Different Methods of Machine Learning 1.2.1 Prediction of future events through supervised learning 1.2.2 Solving Interactive Problems through Reinforcement Learning 1.2.3 Discovering the Potential Structure of Data by Unsupervised Learning 1.2.4 Introduction of Basic Terminology and Symbols 1.3 Blueprint for Building Machine Learning System)