diveintopythonzh-cn-5.4b-code

统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)

说明：  matlab /simulink电力电子仿真经典教程，这个是matlab /simulink电力电子仿真入门教程，简洁明了！！！非常适合初学者，这是我迄今为止见过的最好的入门教程，没有之一！！！(matlab / simulink power electronics simulation classic tutorial, this is matlab / simulink power electronics simulation tutorial, simple and clear! ! ! Very suitable for beginners, this is the best introductory tutorial I have seen so far, no one! ! !)

Spatialite helper document that describes steps for developement

说明：  导师给推荐的另一本书，我推荐只看第一章就行了，帮助你理解很多东西。(Mentor to recommend another book, I recommend just look at the first chapter on the line, to help you understand a lot.)

physics of cyrstal growth 英文版的教材，很实用(physics of cyrstal growth )

徐士良c++第四版基础教程代码，简单易懂(Based tutorial Xu Shiliang fourth edition of c + + code, easy to understand)

此书是由Tom M. Mitchell所写的机器学习的中文版。(The book is written by Tom M. Mitchell machine learning of the Chinese version.)

说明：  这个文档讲述了PLC开发过程的详细情况，是一本国外很经典的参考书籍，对于PLC开发者来说，很不错(This document describes the details of the development process PLC, is a classic reference books abroad, for PLC developers, very good)

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 and illustrates algorithms in a concise and easy-to-understand way. It aims to help programmers make better use of algorithms in daily projects to help software development. The first three chapters introduce the basic algorithms, including binary search, large O representation, two basic data structures and recursion. The rest of the paper will focus on the widely used algorithms, including: when to use greedy algorithm or dynamic programming, hash table application, graph algorithm, K nearest neighbor algorithm when facing specific problems. This book is suitable for all programmers, computer-related teachers and students, and readers interested in algorithms.)

机器学习实战中文版，基于Python语言，适合初学者(Machine Learning in Action(Python))