小游戏

说明：  迭代算法的收敛率p是等于矩阵导数的最大特征根,Jacobi矩阵表示的是信息缺失的比例,所以p是一个可以有效的表示缺失信息的一个比例的标量,缺失信息的比例其实就是单位矩阵I 减去已经观测到的信息占完全信息的比例(The convergence rate P of the iterative algorithm is equal to the maximum characteristic root of the matrix derivative. Jacobi matrix represents the proportion of missing information, so P is a scalar that can effectively represent a proportion of missing information. The proportion of missing information is actually the proportion of the unit matrix I minus the observed information to the complete information.)

简单的爬虫实例,通过各种方式从商品网站上爬取各种不同的信息，主要用于练习爬虫的应用，更加熟悉爬虫的应用(A simple crawler instance that crawls a variety of different information from a product website in a variety of ways, mainly for practicing reptile applications and more familiar with reptile applications.)

简单的遗传算法Python实现，遗传算法是一种全局搜索算法(Genetic Algorithm in python.Genetic algorithm is a global optimization search algorithm that simulates biological evolution.)

3D点云特征提取，pointnet2，李飞飞团队所提的机器视觉特征提取算法，传统图像特征提取算法对3D点云效果不佳，为此，提出应用于3D点云的特征提取算法，输入为3D点云，输出为识别的结果。

http服务端（等待客户端请求）和socket服务端(监听客户端发送数据)

机器学习 西瓜书配套代码 

A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

说明：  优秀书籍，python入门，6-10章节的例子代码(Python book chapters 6-10 example source code)

这是一本描述用Python分析处理金融大数据的英文电子书(This is a description of the Python big data analysis and processing of financial English eBook)

说明：  tensorflow下用Keras构建卷积神经网络用于图像分类(Using keras to construct convolutional neural network for image classification under tensorflow)