bostorder

说明：  本书示例丰富，图文并茂，以简明易懂的方式阐释了算法，旨在帮助程序员在日常项目中更好地利用 算法为软件开发助力。前三章介绍算法基础，包括二分查找、大 O 表示法、两种基本的数据结构以及递归 等。余下的篇幅将主要介绍应用广泛的算法，具体内容包括 :面对具体问题时的解决技巧，比如何时采用 贪婪算法或动态规划 ;散列表的应用 ;图算法 ;K 最近邻算法。 本书适合所有程序员、计算机专业相关师生以及对算法感兴趣的读者。(This book is rich in examples, illustrated and illustrated. It explains the algorithm in a concise and easy to understand way. It aims to help programmers make better use of algorithms to help software development in daily projects. The first three chapters introduce the basic algorithm, including binary search, big O representation, two basic data structures and recursion. The remaining space will mainly introduce the widely used algorithms, including: when facing specific problems, how to use greedy algorithm or dynamic programming; hash table application; graph algorithm; k-nearest neighbor algorithm. This book is suitable for all programmers, computer related teachers and students as well as interested in algorithm readers.)

该压缩文件是《深度学习之Tensorflow的入门、原理及进阶实战》，里面讲述了如何搭建TensorFlow环境，并讲述了深度学习的一些理论基础知识，而且通过例子进行辅助，能更好的理解掌握。(The compressed file is "Introduction, Principle and Advanced Combat of Tensorflow for Deep Learning", which describes how to set up the TensorFlow environment, and describes some theoretical basic knowledge of deep learning, and assists with examples to better understand .)

说明：  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

说明：  一个用python实现的PCA算法，并且给了简易素材(A PCA algorithm implemented in python, and gave a simple material)

用python和数据库实现简单的图书馆管理系统(Simple library management system based on Python and database)

利用urllib.request进行爬虫， 下载百度视频页面的所有图片保存到本地(Use urllib.request for crawl. Download all the pictures from Baidu video page to local.)

bigdata hive use for hadoop

多重分形去趋势波动分析法，用于不同时间序列的重分形交叉相关性分析。(Multifractal detrended fluctuation analysis)

 环保大数据的处理对环保行业非常重要，本人编写了如何整合环保大数据的问题

主要利用Python软件，利用KNN算法对垃圾邮件进行分类(This paper mainly uses Python software to classify spam mail by using KNN algorithm)