PointerC

说明：  《深入浅出Python机器学习》源码 ipynb格式("Deep and Simple Python Machine Learning" Source Code ipynb Format)

有限元编程的源程序及教材，及一些相关资料。(Book and the Source of Programming the Finite Element Method )

说明：  用迭代法求 x=根号a。求平方根的迭代公式为：X(n+1)=(Xn+a/Xn) /2。(Iterative method is used to find x = root a. The iteration formula for finding square root is X(n+1)=(Xn+a/Xn)/2.)

说明：  Nehe大神的OpenGL教程，内附48节课的课程源码~希望对学习OpenGL的人有所帮助(OpenGL_Course_NeHe,Nehe's OpenGL course, which contains the source code of 48 courses. I hope it can help people who study OpenGL)

MATLAB教程-台大郭彦甫 适合初学者(MATLAB Course-Taida Guo Yanfu Suits Beginners)

近红外光谱预处理方法，msc,snv,1-Der,2-Der,smooth,center等等(Near Infrared Spectrum Pretreatment methods, msc, snv, 1-Der, 2-Der, smooth, center, etc.)

定义循环队列，完成队列的基本操作：入队和出队等(Defined circular queue, the queue to complete the basic steps: into the team and the teams)

面向对象的有限元程序设计书籍，书里有个空间八节点的程序源码(Object oriented finite element program design books, the book has a space eight node program source code)

说明：  随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法 本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)

非线性滤波的matlab实现；三维机动目标跟踪；(EKF)