AES

ebook for USB design

算法导论（Introduction to Algorithms）第三版课后答案(Introduction to Algorithms Reference Answer)

secure communicating systems

Python数据挖掘入门与实践 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。(Introduction and practice of Python data mining 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.)

说明：  信息论基础.rar 很前卫的书籍 对于信息与计算科学及通信工程很有帮助啊 希望大家多上载此类的书(information theory foundation. Rar very avant garde books for Information and Computer Science and Communication Engineering helpful ah hope everyone on the book contains such)

isight进阶学习资料与实例，特别适合初学者。尤其对isigt一无所知的人。(isight advanced learning materials and examples of)

说明：  数据与计算机通信（Data and Computer Communications）答案(Data and Computer Communications Reference Answers)

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.)

王新敏的ANSYS工程结构数值分析命令流 王新敏的ANSYS工程结构数值分析命令流(Wang Xinmin the ANSYS numerical analysis of engineering structures Wang Xinmin order flow of the ANSYS numerical analysis of engineering structures, command streams)

一本使用matlab对有限元分析软件abaqus进行二次开发的教程(A tutorial on the two development of the finite element analysis software ABAQUS using MATLAB)