The Algorithm Design Manual Second Edition 20-带书签目录超清文字版.pdf 这个是带完整目录书签的文字版本，文本内容可以复制的哦

游戏开发中的AI技术，这本书是最新版的第三版，2019年出版

Title: Hadoop in Practice, 2nd Edition Author: Alex Holmes Length: 512 pages Edition: 2 Language: English Publisher: Manning Publications Publication Date: 2014-10-12 ISBN-10: 1617292222 ISBN-13: 9781617292224 Summary Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You'll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book It's always a good time to upgrade your Hadoop skills! Hadoop in Practice, Second Edition provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters, and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka, and Impala with Hadoop, and get new and updated techniques for the latest versions of Flume, Sqoop, and Mahout. In short, this is the most practical, up-to-date coverage of Hadoop available. Readers need to know a programming language like Java and have basic familiarity with Hadoop. What's Inside Thoroughly updated for Hadoop 2 How to write YARN applications Integrate real-time technologies like Storm, Impala, and Spark Predictive analytics using Mahout and RR Readers need to know a programming language like Java and have basic familiarity with Hadoop. About the Author Alex Holmes works on tough big-data problems. He is a software engineer, author, speaker, and blogger specializing in large-scale Hadoop projects. Table of Contents Part 1: Background and fundamentals Chapter 1: Hadoop in a heartbeat Chapter 2: Introduction to YARN Part 2: Data logistics Chapter 3: Data serialization— working with text and beyond Chapter 4: Organizing and optimizing data in HDFS Chapter 5: Moving data into and out of Hadoop Part 3: Big data patterns Chapter 6: Applying MapReduce patterns to big data Chapter 7: Utilizing data structures and algorithms at scale Chapter 8: Tuning, debugging, and testing Part 4: Beyond MapReduce Chapter 9: SQL on Hadoop Chapter 10: Writing a YARN application Appendix: Installing Hadoop and friends

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PyTorch中的MeshCNN SIGGRAPH 2019 MeshCNN是用于3D三角形网格的通用深度神经网络，可用于诸如3D形状分类或分割之类的任务。 该框架包括直接应用于网格边缘的卷积，池化和解池层。 该代码由和在支持下编写。 入门 安装 克隆此仓库： git clone https://github.com/ranahanocka/MeshCNN.git cd MeshCNN 安装依赖项： 1.2版。 可选： 用于训练图。 通过新的conda环境conda env create -f environment.yml （创建一个名为meshcnn的环境） SHREC上的3D形状分类 下载数据集 bash ./scripts/shrec/get_data.sh 运行训练（如果使用conda env首先激活env，例如source activate meshcnn ） bash ./scripts/shrec/train.sh 要查看训练损失图，请在另一个终端中运行tensorboard --logdir runs并单击 。 运行测试并导出中间池网格： bas

O'Reilly DNS and BIND, 4th Edition By Paul Albitz, Cricket Liu Publisher : O'Reilly O'Reilly 经典图书

OpenGL SuperBible 6th Edition.pdf 文字版pdf，图片清晰。

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计算机编程艺术(The Art of Computer Programming)英文版(内含三卷) 计算机科学巨匠 Donald E.Knuth (高德纳) 经典巨著 学计算机编程的应该都知道这套书 “它本来是作为参考书撰写的，但有人发现每一卷可以饶有兴致地从头读到尾。一位中国的程序员甚至把他的阅读经历比做读诗。如果你认为你确实是一个好的程序员，读一读 Knuth 的《计算机程序设计艺术》吧，要是你真的把它读通了，你就可以给我递简历了。” --Bill Gates