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implementation of feedforward neural network to recognize the faces with sunglasses from open faces.data source is from machine learning book by mitchell
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机器学习与数据挖掘：方法和应用,本书分为5个部分,共18章,较为全面地介绍了机器学习的基本概念,并讨论了数据挖掘和知识发现中的有关问题及多策略学习方法,具体地阐述了机器学习与数据挖掘在工程设计,文本、图像和音乐,网页分析、计算机病毒和计算机控制,医疗诊断、生物医疗信号分析和水质分析中的生物信号处理等方面的应用情况。-Machine learning and data mining: methods and applications, the book is divided into five p
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本书展示了机器学习中核心算法和理论，并阐述了算法的运行过程-This book shows the core of machine learning algorithms and theory, and operation of the algorithm described
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This good book about Machine Learning of Multimedia Content Analysis-This is good book about Machine Learning of Multimedia Content Analysis
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统计学习理论 Vapnik
本书是对统计学习理论和支持向量机方法的全面、系统、详尽的阐述，是各领域中研究和应用机器学习理论与方法的科研工作者和研究生的重要参考资料。-Statistical learning theory Vapnik book of statistical learning theory and support vector machine method of comprehensive, systematic and detailed exposition of the
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本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
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神经网络机器学习第三版书籍源码，Final Program after-Chapters，非常好的自学资料-Neural network machine learning third edition book source, Final Program after-Chapters, a very good self-study materials
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这本经典书籍展现了机器学习中核心的算法和理论，是研究人员或从业人员很好地参考资料-This classic book demonstrates the core of machine learning algorithms and theory, researchers or practitioners are good references
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Machine Learning, 机器学习经典书-Machine Learning， classical book
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Machine Learning: A Probabilistic Perspective.2012年才出的一本机器学习好书-Machine Learning: A Probabilistic Perspective.A good book just published in 2012.
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这本书为机器学习书籍，里面有许多机器学习理论介绍和相关源码练习-This book machine learning books, there are a lot of machine learning theory to practice presentations and Related Items
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机器学习 andrew ng,Machine learning is the foundation of countless important applications, including web
search, email anti-spam, speech recognition, product recommendations, and more. I assume
that you or your team is working on a machine learning a
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贝叶斯学派的机器学习书籍，主要讲解了模式识别和机器学习的基本入门方法。(The machine learning book of Bayesian school.)
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这是一本关于机器学习的书籍，介绍了机器学习常见算法的原理和实现代码，有例子。(This is a book on machine learning, introduced the principles of machine learning algorithms and the realization of code, there are examples.)
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machine learning source code from book
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这是机器学习的经典书籍，理论深入，值得研究(This is a classic book of machine learning, in-depth theory, worthy of study)
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This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a va
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机器学习的入门知识，简单易懂，适合机器学习的小白。(A popular book for Machine Learning beginners.)
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经典教学书籍<Machine learning A Probabilistic Perspective>(book <Machine learning A Probabilistic Perspective>)
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吴恩达新新书-Machine Learning Yearing-完整中文版-机器学习训练秘籍）(Wu Enda's New Book - Machine Learning Yearing - Complete Chinese Version - Machine Learning Training Secret Book))
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