这是一本统计书，但重点是围绕心理测量学、评估和贝叶斯推理的概念和想法
This is a statistics book, but one where the focus is on concepts and ideas surrounding psycho, assessment, and Bayesian inference. (2019-03-27, R language, 9976KB, 下载0次)
我们的下一个例子将贝叶斯网络的应用扩展到多层次的潜在和可观察变量，并说明了它在复杂评估中的应用。我们关注的是用于指定贝叶斯心理测量模型的策略。这项工作的背景是思科学习研究所，这是一个基于模拟的计算机网络专业性能评估。
Our next example extends the use of Bayesian networks to latent and observable variables and illustrates its use in a complex assessment. We focus on strategies used in specifying the Bayesian network psychometric model. The context for this work is Cisco Learning Institute,a simulation-based performance assessment of computer networking proficiency. (2019-03-27, R language, 120KB, 下载1次)
包含朴素贝叶斯分类算法，并实现《数据挖掘-概念与技术》书上的例子
Including Naive Bayesian Classification Algorithms and Implementing Examples in Data Mining-Concepts and Technologies (2019-02-03, R language, 1KB, 下载0次)
使用R语言实现主成分分析，以达到数据降维的效果，该代码有助于理解主成分分析的核心步骤
Principal Component Analysis (PCA) is implemented in R language in order to reduce the dimension of data. This code helps to understand the core steps of PCA. (2019-02-03, R language, 1KB, 下载1次)
贝叶斯网络预测篮球队胜负，使用了爬山学习算法
The Bias network predicts the winning and negative of the basketball team and uses the mountain climbing algorithm. (2017-12-16, R language, 1KB, 下载4次)
SVM主要是针对线性可分情况进行分析，对于线性不可分的情况，通过使用非线性映射算法将低维输入空间线性不可分的样本转化为高维特征空间使其线性可分，从而使得高维特征空间采用线性算法对样本的非线性特征进行线性分析成为可能。
SVM is mainly for the analysis of linear separable cases. Linearly indivisible cases are transformed into high dimensional feature spaces linearly by using non-linear mapping algorithm to linearly indivisible samples of low-dimensional input space, so that high-dimensional feature space It is possible to linearly analyze the nonlinear characteristics of the samples using a linear algorithm. (2017-01-19, R language, 2KB, 下载1次)
基于R语言的机器学习。包括：
1.数据预处理方法以及编程；
2.SVR，ANNS,决策树，朴素贝叶斯，k-nn，k-mean等十大机器学习的算法以及编程。
Machine Learning Based on R Language. include:
1. Data preprocessing methods and programming
2.SVR, ANNS, decision tree, naive Bayes, k-nn, k-mean such as the top ten machine learning algorithms and programming. (2016-12-06, R language, 11544KB, 下载4次)
R语言写的贝叶斯算法和案例，里面包括预处理、分析、以及绘图
R language written in the Bayesian algorithm and case, which includes pre processing, analysis, and drawing (2016-11-04, R language, 5KB, 下载10次)
首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码
First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code (2016-06-06, R language, 1KB, 下载12次)
该程序是用R语言实现贝叶斯网络和神经网络的结合进行预测的模型
The program model is R language network and the combination of Bayesian neural network to predict (2016-06-03, R language, 1KB, 下载19次)
机器学习 R语言对与数据进行分类，包括决策树，SVM，贝叶斯，percepttron等算法。需要注意之前要安装相应的R工具包。具体工具包名称百度一下就能容易获取。
R for language and machine learning to classify data, including decision trees, SVM, Bayesian, percepttron algorithm. To install the appropriate R toolkit before need to pay attention. Specific Toolkit name Baidu, you can easily get. (2016-03-26, R language, 9KB, 下载12次)