爬虫抓取微博信息

基于Python-opencv实现动作和人脸的检测与识别，通过获取关键点来识别人体动作

image segmentation bee algorithm

使用深度学习的图像分类的 Python 代码。

运用python成为顶级黑客，讲解运用python进行网站攻击与漏洞利用(Use Python to become a top hacker, explain how to use Python to attack website and exploit vulnerabilities)

基于用户的协同过滤算法，数据源采用movielens.其核心思想是，根据系统中用户对项目的已评分数据，计算目标用户和其他用户（或项目）之间的相似度，然后根据得到的相似度进行排序，选择相似度最高的若干个用户（或项目）形成最近邻居集合，最后根据该集合中用户（或项目）的评分情况来预测目标用户可能感兴趣的项目，进而主动生成推荐列表。

说明：  PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

说明：  利用深度置信网络进行回归建模(Regression Modeling Using Deep Belief Network)

说明：  Subterranean homesick alien

简单的SVD基于movielens的开发python程序(this is a simple SVD write by python base on movielens dataset)