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Machine Learning: 4 Books in 1

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Kosovo and Diplomacy Since World War II

of Kosovo, especially in the period since World War II. In this book, Ethem Ceku studies the Albanian political movement in Kosovo and the efforts;

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Maschinelles Lernen

Machine learning means artificially generating knowledge from experience. This book discusses method;...

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EU, Turkey and Counter-Terrorism

). Ethem Ilbiz and Christian Kaunert consider how the paradigm shifts in Turkish counter-terrorism policies that occurred during these periods have;

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Making Sense of Mining History

This book draws together international contributors to analyse a wide range of aspects of mining history across the globe including mining;

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Machine Learning The New AI

learning-the foundation of efforts to process that data into knowledge-has also advanced. In this book, machine learning expert Ethem Alpaydin;

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Advanced Data Mining and Applications

Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Introduction to Machine Learning

, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and;

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Introduction to Machine Learning

, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern;

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International Mining Forum 2005, New Technologies in Underground Mining, Safety and Sustainable Development

This work comprises technical papers that were presented at the Sixth International Mining Forum in Poland in 2005. The major themes of IMF;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern;

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Web Data Mining

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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Machine Learning and Data Mining in Pattern Recognition

classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image;

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How Space Mining And Asteroid Mining Will Destroy The Gold And Silver Bullion Market, How Space Mining And Asteroid Mining Will Forever Change The Pre

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Bitcoin Essentials

Gain insights into Bitcoin, a cryptocurrency and a powerful technology, to optimize your Bitcoin mining techniques About This Book;

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Mining in the Arctic

The proceedings of the 6th International Symposium on Mining in the Arctic, held in Greenland in 2001. The papers cover a wide variety;

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Extracting Knowledge From Opinion Mining

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage;

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Contemporary Issues in Mining

Provides case studies, commentary and analysis on the mining sector from international experts in business, across the four key focus areas;

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;

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Machine Learning and Data Mining in Pattern Recognition

and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two;

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