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和当时最热的《模式识别与机器学习》对应的课件-the hottest book of Pattern Recognition and Machine Learning corresponding courseware
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Pattern Recognition and Machine Learning
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本书介绍的支持向量机方法，是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力 。-This book introduces the support vector machine method is based on statistical learning theory, VC dimension and structural risk mi
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这本书提供了一个全面的基础，在机器学习的概念，以及在现实世界中数据挖掘的情况下，将机器学习的工具和技术的实用的建议。在里面，你会学到所有你需要知道的关于编写，解释输出，评估结果，以及算法的心脏成功的数据挖掘方法，包括过去和基于Java的方法，在尝试和真正的技术当代研究的前沿。如果你参与的任何级别的工作从大的数据集合中提取有用的知识，写清楚，并有效地说明本书将证明是一个非常宝贵的资源。
补充作者的指令，是一个全功能的独立于平台的Java软件的机器学习系统，可供下载。将它应用到的样本数据集
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Machine Learning Book for Beginner
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该书籍介绍了很好的统计学习方法，能为机器学习和数据挖掘的爱好者提供很好的理论依据。-The book describes the good statistical learning method that can provide a good theoretical basis for machine learning and data mining enthusiasts.
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PracticalMachineLearning.pdf book guides practical machine learning.
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集体智慧编程中文版，本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析web上的数据和 资源。本书包含协作过滤技术，集群数据分析，搜索引擎核心技术，贝叶斯过滤技术等。-Collective intelligence programming Chinese edition, the book in machine learning and statistics are calculated as the theme, specifically on how to mine and anal
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Machine Learning in Action详细讲述了机器学习的基本知识和著名的算法。对该书的阅读会让你快速走进机器学习的大门。-Machine Learning in Action in detail about the basics of machine learning algorithms and famous. To read the book you will learn quickly into the machine door.
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Among learning Machine Support Vector Machine (SVM) is a powerful method to classify data, this is a useful book to learn SVM its basis.-Among learning Machine Support Vector Machine (SVM) is a powerful method to classify data, this is a useful book
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This the python code according to the book named machine learning in action.-This is the python code according to the book named machine learning in action.
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machine learning: It is for pattern classification book-This is for pattern classification
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周志华老师的西瓜书,买了有一段时间了,内容、排版和印刷都非常不错,值得作为机器学习的系统学习书籍。-Zhou Zhihua teacher of the watermelon book, bought for some time, content, layout and printing are very good, it is worth learning as a machine learning system books
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一本关于高斯过程回归的电子文档 非影印版(A book named Gaussian Processes for Machine Learning, a classic book about GP.)
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随后该书分为三部分，第一部分是应用数学和机器学习基础，当初步具有上述理论基础后，才算叩开深度学习的大门。第二部分是深层网络的现代实践。第三部分是深度学习的理论研究，适用于想要执果索因、深入学习神经网络内在原理的研究人员学习。(The book is divided into three parts, the first part is the application of mathematical and machine learning based. When initially with t
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This book sets out to introduce people to important machine learning algorithms.
Tools and applications using these algorithms are introduced to give the reader an
idea of how they are used in practice today. A wide selection of machine learning
b
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This book is based on material taught in a machine learning course in the
School of Computing Science at the University of Glasgow, UK. The course,
presented to nal year undergraduates and postgraduates, is made up of 20
hour-long lectures and 10
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Python，机器学习实践参考书 ，是入门机器学习的好书。(Python, Machine Learning Practice Reference Book)
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The book 'Machine Learning in Action'
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