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ISO_CPP_11
C++11的官方文档，英文版，用于学习C++11.(C++ 11 official document, English version, for learning C++ 11.)
- 2019-03-16 23:43:08下载
- 积分：1
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STL源码剖析(中文完整版带书签)
说明： STL源码剖析(中文完整版带书签)，可以多看看(STL source code analysis (Chinese full version with bookmarks), you can have a look more)
- 2020-05-08 14:21:14下载
- 积分：1
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FPGA那些事儿--Modelsim仿真技巧REV6.0
FPGA modelsim 仿真详细说明介绍(Modelsim operation manul, detail expain how to use modelsim)
- 2018-01-02 10:48:28下载
- 积分：1
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js_optimus_free
Joomla content suine
- 2009-01-14 03:54:17下载
- 积分：1
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Exceptional C++中文版
Exceptional C++书籍，质量特别好，有利于C转C++，而且中文版有利于英语不是很好的人阅读(Exceptional C++ books, the quality is particularly good, is conducive to C to C++, and the Chinese version is conducive to English is not very good people reading)
- 2017-11-17 15:59:00下载
- 积分：1
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OFDM
文章简述了OFDM系统，分析了多径传输时延以及加入信道编码之后的误码率。(The article outlines the OFDM system, an analysis of multi-path delay and channel coding, after adding the error rate.)
- 2009-07-12 16:27:15下载
- 积分：1
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Cadence Allegro
cadence的allegro软件使用的中文简易手册(cadence of the software used in simple manual)
- 2004-09-30 07:13:03下载
- 积分：1
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refresher
Matlab and Simulink for Modeling and Control Robert Babuska and Stefano Stramigioli
- 2017-12-10 03:28:27下载
- 积分：1
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Google大数据三大经典论文
说明： Google大数据三大经典论文，本合集包含这三篇论文的英文版原版论文以及相应的中文版翻译。(The three classic papers of Google big data, this collection contains the original papers of these three papers and the corresponding Chinese translation.)
- 2020-05-28 21:09:36下载
- 积分：1
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机器学习实战（高清 中文版）
说明： 机器学习实战（高清 中文版）
作者： Peter
本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version)
Author: Peter
This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)
- 2019-05-19 03:06:57下载
- 积分：1
