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Phil Kim 编写的英文专著《MATLAB Deep Learning》。(The monograph "MATLAB Deep Learning" written by Phil Kim.)

JavaScript教程,很好用,内容很详细(JavaScript tutorials, useful, very detailed content)

基于python的模块matplotlib画各种机器学习结果的图(matplotlib for the plot of machine learning)

Optische Nachrichten technik

JAVA技术专题综述之内部类篇(JAVA technical Internal Review of Part category)

a direct torque simulation of induction moteur with matlab 7.1

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.)

Digital Processing of Synthetic Aperture Radar Data

Oracle数据库管理员技术指南系列丛书(Oracle database administrator technical guidelines Series)

算法的乐趣，增加对算法的了解。图灵原创，王晓华著(The Fun of Algorithms)