说明：支持向量机（Support Vector Machine, SVM）是一类按监督学习（supervised learning）方式对数据进行二元分类（binary classification）的广义线性分类器（generalized linear classifier），其决策边界是对学习样本求解的最大边距超平面（maximum-margin hyperplane）

说明：Machine Learning Course with Python

说明：An Open Source Machine Learning Framework for Everyone

说明：机器学习实战（高清 中文版） 作者： Peter 本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。

说明：Machine learning algorithms.

说明：machine learning algorithms for HIN representation learning

说明：极限学习机（Extreme Learning Machine, ELM）是一类基于前馈神经网络（feedforward neuron network）的机器学习算法，

说明：It is a free, open source MATLAB toolbox for symbolic data mining (SDM). It uses a biologically inspired machine learning method called multigene genetic programming (MGGP) as the 'engine' that drives the automatic model discovery process. GPTIPS is an acronym for Genetic Programming Toolbox for the Identification of Physical Systems. GPTIPS is a generic genetic programming toolbox for MATLAB - but the main intention of GPTIPS is to perform symbolic data mining. That is, to allow you to automatically discover empirical symbolic non-linear models from data.

说明：Pattern recognition and machine learning

说明：database for machine learning

说明：吴恩达 机器学习 第一节课程序第一节课程序

说明：使用python3.6.6编写的朴素贝叶斯分类算法

说明：支持向量机（Support Vector Machine, SVM）是一类按监督学习（supervised learning）方式对数据进行二元分类（binary classification）的广义线性分类器（generalized linear classifier），其决策边界是对学习样本求解的最大边距超平面（maximum-margin hyperplane）

说明：machine learning in action

说明：dlib is a C++ library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks.

说明：Graphic machine learning

说明：machine learning Matlab code ex-7 andrewNg

说明：elegant example of SVM

说明：Implementation of Perceptron Algorithm

说明：INDUCTION MOTOR FAULT MONITORING

说明：machine learning algorithm (PSO)

说明：Ant colony optimization implementation

说明：这个是学习machine learning的一个案例，可参考

说明：Google Vizier, a Google-internal service for performing black-box optimization that has become the de facto parameter tuning engine at Google. Google Vizier is used to optimize many of our machine learning models and other systems, and also provides core capabilities to Google’s Cloud Machine Learning HyperTune subsystem.

说明：feature extraction for Matlab, machine learning

说明：Machine learning CNN convolutional neural network

说明：针对Opencv的机器学习文档教程，用户可以根据此文档进行深入的opencv的机器学习

说明：机器学习与数据挖掘方法和应用（经典） Machine learning and data mining methods and applications (classic)