K-均值算法程序，用python实现的

说明：  一个基于Q-learning的强化学习经典算法，实现机器人自动寻找目标位置(A classical reinforcement learning algorithm based on Q-learning, which can automatically find the target position of robot)

这是一个Python基础的练习Demo,提供以后进行学习查看和记忆(this is a Python basic traning Demo,Provide for future learning, viewing and memory)

在VS2013+openCV2.4.9平台上运行，首先准备正负样本若干，进行预处理，提取正负样本的Hog特征，加入到SVM分类器进行训练，最终得到检测行人的分类器！

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

Python金融大数据分析 提供了使用Python进行数据分析，以及开发相关应用程序的技巧和工具(Python for Finance Python as a programming language and platform technology was considered exotic if not completely irrelevant)

python数据分析，人工智能，吴恩达课程代码(Python data analysis, artificial intelligence, teacher Wu Enda curriculum code)

对物体进行hog特征提取，然后使用支持向量机进行分类，准确率为88%左右.(Hog feature extraction is carried out for objects, and then classification is carried out with support vector machine. The accuracy is about 88%.)

说明：  图像超分辨率技术源码； 基于深度学习的图像超分辨率重建的流程如下[2]： 1.首先找到一组原始图像Image1; 2.将这组图片降低分辨率为一组图像Image2 3.通过各种神经网络结构，将Image2超分辨率重建为Image3(Image3和Image1分辨率一样) 4.通过PSNR等方法比较Image1和Image3，验证超分辨率重建的效果，根据效果调节神经网络中的节点和参数 5.反复执行以上直到第4步的结果比较满意(Image super-resolution technology source code; The process of image super-resolution reconstruction based on deep learning is as follows [2]: 1. First find a set of original images image1; 2. Reduce the resolution of this group of pictures to a group of image2 3. Through various neural network structures, the super-resolution of image2 is reconstructed into image3 (the resolution of image3 is the same as that of image1) 4. Compare image1 and image3 by PSNR and other methods to verify the effect of super-resolution reconstruction, and adjust the nodes and parameters of neural network according to the effect 5. Repeat the above until the result of step 4 is satisfactory)

首先说一下环境，windows 8.0 64位系统，OpenCV版本为2.4.7, Python 版本为2.7.6，IDE为 64位 Anaconda 目的是实现图像的Gabor特征提取，分三个小程序完成 首先说一下环境，windows 8.0 64位系统，OpenCV版本为2.4.7, Python 版本为2.7.6，IDE为 64位 Anaconda 目的是实现图像的Gabor特征提取，分三个小程序完成

说明：  新闻发布系统是一个新闻单位不可缺少的部分,它的内容对于新闻的决策者和管理者来说都至关重要,所以新闻发布系统应该能够为用户提供充足的信息和快捷的查询手段。但一直以来人们使用传统人工的方式管理文件档案，这种管理方式存在着许多缺点,如:效率低、保密性差,另外时间一长,将产生大量的文件和数据,这对于查找、更新和维护都带来了不少的困难。 本系统功能的设计与实现，包括新闻创建、新闻浏览、新闻发布、撤销，新闻删除有，方便用户上手使用。本系统具有很好的外部接口，能够很好的配合站点的其它子系统服务于web新闻发布。(Press release system is an indispensable part of a news unit. Its content is very important for news decision-makers and managers. Therefore, news release system should be able to provide users with sufficient information and fast means of inquiry. But people have been using the traditional manual way to manage documents and archives, which has many shortcomings, such as low efficiency, poor confidentiality, and a long time, will produce a large number of documents and data, which brings many difficulties to search, update and maintain. The design and implementation of the system functions, including news creation, news browsing, news release, cancellation, news deletion, user-friendly use. The system has a good external interface, and can cooperate with other subsystems of the site to serve the web news release.)