MATLAB(1)

matlab 程序汇编学习课程 下 自学matlab的最好资料(matlab study)

machine learning 方面有关于Classification fundamentals的资料，语言是python(Classification fundamentals aspects of machine learning have information about language is python)

这是一个灰色预测模型，里面包含源程序和word 文档，还有论文。(This is a gray forecasting model, which contains the source code and word document, as well as papers.)

Manages the interaction between the secure system setting for default geolocation.

piano contpue detection - image processing

自由空间的路径损耗模型，有对数距离路径损耗和对数正态阴影路径损耗(Free space path loss model with logarithmic distance path loss and shadow lognormal path loss)

说明：  人工神经网络\神经网络的程序和训练数据 股票预测(Artificial Neural Networks \ neural network stock prediction programs and training data)

fingerprint regconize Fingerprint-Project

stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。(Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.)

Kmedoid 是类似于Kmean的Clustering method。(Kmedoid is similar to Kmean the Clustering method.)