嵌入式系统设计师考试笔记(完整整理版)

matlab中文教程,matlab基础教程，起步教程(MATLAB basic course, suitable for beginners for reference, including a large number of examples)

C 语言入门最最经典的一本，作者是 K&R，其中的 R （Dennis M.Ritchie）为 C 语言设计者之一。(The most classic introduction to C language is by K&R, among which R (Dennis M. Ritchie) is one of the C language designers.)

leach源码的说明文档,非常好,值得一看(a very good document for leach study)

《Python数据挖掘入门与实践》高清中文版 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。("Python Data Mining Getting Started and Practice" HD Chinese version As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

learning python第五版，经典书籍，学习python必看。(Learning Python fifth edition, classic books, learning must see.)

Fluent动网格一本非常经典的书，对初学者十分有用(a book regarding the dynamic mesh of the fluent)

说明：  刘海洋编著的LaTeX入门书籍，适合初学者阅读。(LaTeX introductory book compiled by Liu Haiyang, suitable for beginners to read.)

ao go的汇编论坛精华(ao go to the essence of the compilation Forum)

说明：  《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。(Deep learning, written by three famous experts in the world, is a classic textbook in the field of deep learning. The book consists of three parts: the first part introduces the basic mathematical tools and the concept of machine learning, which are the preparatory knowledge of deep learning; the second part systematically explains the mature deep learning methods and technologies; the third part discusses some forward-looking directions and ideas, which are recognized as the future research focus of deep learning.)

Unix白皮书/电子书(Unix/e-books)