Computer Security - Principles and Practice(3rd) 英文无水印pdf 第3版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
2019-12-21 21:22:39 21.02MB Computer Security Principles Practice
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Data Science from Scratch First Principles with Python 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
2019-12-21 21:22:28 5.02MB Data Science from Scratch
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Computers as Components.Principles of Embedded Computing System Design
2019-12-21 21:22:17 2.26MB Embedded Computing System Design
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Computer+Graphics+Principles+and+Practice+2nd+Edition+in+C
2019-12-21 21:17:46 47.91MB graphic 计算机图形学
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Probabilistic Graphical Models Principles and Techniques(Koller)
2019-12-21 21:07:33 15.39MB Deep Learning AI Machine Learning
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Electronic Principles, eighth edition, continues its tradition as a clearly explained, in-depth introduction to electronic semiconductor devices and circuits. This text- book is intended for students who are taking their fi rst course in linear electronics. The prerequisites are a dc/ac circuits course, algebra, and some trigonometry. Electronic Principles provides essential understanding of semiconductor device characteristics, testing, and the practical circuits in which they are found. The text provides clearly explained concepts—written in an easy-to-read conver- sational style—establishing the foundation needed to understand the operation and troubleshooting of electronic systems. Practical circuit examples, applica- tions, and troubleshooting exercises are found throughout the chapters.
2019-12-21 21:05:45 27.29MB Electronic Principles 8th
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Computer Security Principles and Practice
2019-12-21 21:00:43 13.64MB Computer Security Principles and
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Distributed Systems: Principles and Paradigms (2nd Edition)
2019-12-21 21:00:33 9.38MB java distributed programming
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数字图像处理的书籍,希望能帮助大家,谢谢。
2019-12-21 20:59:28 15.85MB Digital Image Processing
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David J. Hand Department of Mathematics, Imperial College London, London, UK Data mining is the discovery of interesting, unexpected or valuable structures in large datasets. As such, it has two rather different aspects. One of these concerns large-scale, ‘global’ structures, and the aim is to model the shapes, or features of the shapes, of distributions.
2019-12-21 20:59:20 57KB 数据挖掘
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