该书是剑桥大学出版社出版的关于并行计算机组成及其设计的书籍。

Cambridge.Press.Numerical.Recipes.3rd.Edition.Sep.2007.pdf

This book presents a systematic account of optical coherence theory within the framework of classical optics, as applied to such topics as radiation from sources of different states of coherence, foundations of radiometry, effects of source coherence on the spectra of radiated fields, coherence theory of laser modes, and scattering of partially coherent light by random media. The book starts with a full mathematical introduction to the subject area and each chapter concludes with a set of exercises. The authors are renowned scientists and have made substantial contributions to many of the topics treated in the book. Much of the book is based on courses given by them at universities, scientific meetings and laboratories throughout the world.

The eld of arti cial intelligence (AI) and the law is on the cusp of a revolution that began with text analytic programs like IBM’s Watson and Debater and the open-source informa- tion management architectures on which they are based. Today, new legal applications are beginning to appear, and this book – designed to explain computational processes to non-programmers – describes how they will change the practice of law, speci cally by connecting computational models of legal reasoning directly with legal text, generat- ing arguments for and against particular outcomes, predicting outcomes, and explaining these predictions with reasons that legal professionals will be able to evaluate for them- selves. These legal apps will support conceptual legal information retrieval and enable cognitive computing, enabling a collaboration between humans and computers in which each performs the kinds of intelligent activities that they can do best. Anyone interested in how AI is changing the practice of law should read this illuminating work. Dr. Kevin D. Ashley is a Professor of Law and Intelligent Systems at the University of Pittsburgh, Senior Scientist, Learning Research and Development Center, and Adjunct Professor of Computer Science. He received a B.A. from Princeton University, a JD from Harvard Law School, and Ph.D. in computer science from the University of Mas- sachusetts. A visiting scientist at the IBM Thomas J. Watson Research Center, NSF Presidential Young Investigator, and Fellow of the American Association for Arti cial Intelligence, he is co-Editor-in-Chief of Arti cial Intelligence and Law and teaches in the University of Bologna Erasmus Mundus doctoral program in Law, Science, and Technology.

数学笔记 LaTeX为我在剑桥的数学课程中的笔记提供了资料。 要查看已编译的PDF，请单击。 请注意，这些并不是课程本身的详尽描述-请观看所有讲座！ 这仅仅是在一个地方整理许多课程信息的方法。 建筑 将LaTeX Workshop扩展用于Visual Studio Code可能是建立此项目的最简单方法。 贡献 要对项目做出贡献（例如进行更正或添加说明），请分叉存储库，然后提交拉取请求。 任何捐款都必须在与项目本身相同的许可下进行。

CamVid is provided by The University of Cambridge.本数据集由剑桥大学提供。 camvid_class_dict.csv camvid_test_labels.zip camvid_train_labels.zip camvid_val.zip camvid_test.zip camvid_val_labels.zip camvid_train.zip

Topics in matrix analysis-Cambridge University Press.pdf

Gubner J.A. - Probability and Random Processes for Electrical and Computer Engineers (Cambridge University Press, 2006)英文原版

量子计算简介。介绍了量子计算理论，处于需要，对量子理论也做了简要讲述。

[矩阵分析中的若干论题].Topics.in.Matrix.Analysis(Roger.A.Horn,Charles.R.Johnson)