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机器学习(Machine Learning, ML) 专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。机器学习主要是指从数据中学习到模式,或者说,ML可以从一系列观察和响应反馈中推断出模式和不平凡的关系。 机器学习应用非常广泛,比如,亚马逊用ML来推荐适当的书(或者其他产品)给用户。这在机器学习里面属于推荐系统。推荐系统学习用户的行为然后预测用户可能会对某个产品感兴趣。Netflix和其他很多在线零售商一样也用推荐系统来推荐视频租聘。

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机器学习introduce

机器学习(Machine Learning, ML) 专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。机器学习主要是指从数据中学习到模式,或者说,ML可以从一系列观察和响应反馈中推断出模式和不平凡的关系。 机器学习应用非常广泛,比如,亚马逊用ML来推荐适当的书(或者其他产品)给用户。这在机器学习里面属于推荐系统。推荐系统学习用户的行为然后预测用户可能会对某个产品感兴趣。Netflix和其他很多在线零售商一样也用推荐系统来推荐视频租聘。

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机器学习算法Machine Learning Algorithms,

In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered

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机器学习实战(Machine Learning in Action)

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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms...

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Introduction_to_Machine_Learning_with_Python_A_Guide_for_Data_Scientists_

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数据流形的距离和几何结构

根据信息几何的观点,介绍了数据流形的距离。 The increasing importance of data in the modern world has created a need for new mathematical techniques to analyze this data. We explore and develop the use of geometry—specifically differential geometry—as a means for such analysis, in two parts. First, we provide a general f

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Understanding Machine Learning - From Theory to Algorithms.zip

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying ma

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Understanding Machine Learning && Solution Manual.zip

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying ma

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用于人体动作识别的PKU-MMD大范围数据集

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Machine Vision and Human-Machine Interface-Nova Science(2016).pdf

Free online Machine Translation (MT) is known to provide instant access to information in multiple language pairs. This is why MT has proved to be extremely useful in various spoken and written text applications in reducing language barriers and facilitating cross- lingual information search as well

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DeepLearningTutorials

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Machine Learning_A Concise Introduction-Wiley(2018).pdf

My purpose in writing this book is to introduce the mathematically sophisticated reader to a large number of topics and techniques in the eld variously known as machine learning, statistical learning, or predictive modeling. I believe that a deeper understanding of the subject as a whole will be ob

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Lifelong Machine Learning

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Machine Learning Algorithms

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Mastering Java Machine Learning

Mastering Java Machine Learning English | 2017 | ISBN-10: 1785880519 | 556 pages | PDF/MOBI/EPUB (conv) | 20 Mb Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning About This Book Comprehensive coverage of key topics in machine lear

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Machine Learning Algorithms 2017.8

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机器学习那些事

the simple introduce of machine learning

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机器学习实战源代码

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 books is available, which discuss the mathematics, but

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WEKA tutorial exercises

These tutorial exercises introduce WEKA and ask you to try out several machine learning, visualization, and preprocessing methods using a wide variety of datasets:

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Associatively Segmenting Instances and Semantics in Point Clouds

A 3D point cloud describes the real scene precisely and intuitively. To date how to segment diversified elements in such an informative 3D scene is rarely discussed. In this paper, we first introduce a simple and flexible framework to segment instances and semantics in point clouds simultaneously. T

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