Chapman & Hall/CRC

Books by this publisher

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  Python for Bioinformatics (Chapman & Hall/Crc Mathematical & Computational Biology)

  Published 3 years ago

  by Sebastian Bassi, Chapman & Hall/CRC

  Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author&##x2019;s experience working for an agricultural biotechnology company, Python for Bioinformatics helps scientists solve their biological problems by helping them understand the basics of programming. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language.

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  Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition

  Published 4 years ago

  by Stephen Marsland, Chapman & Hall/CRC

  Traditional books on machine learning can be divided into two groups — those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.

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  A Practical Guide to Data Structures and Algorithms using Java (Applied Algorithms and Data Structures)

  Published 5 years ago

  by Sally A. Goldman, Kenneth J. Goldman, Chapman & Hall/CRC

  Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises.

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  A Java Library of Graph Algorithms and Optimization (Discrete Mathematics and Its Applications)

  Published 6 years ago

  by Hang T. Lau, Chapman & Hall/CRC

  Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph algorithms and other mathematical programming problems. Collecting some of the most popular graph algorithms and optimization procedures, A Java Library of Graph Algorithms and Optimization provides the source code for a library of Java programs that can be used to solve problems in graph theory and combinatorial optimization.

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  Correspondence Analysis and Data Coding with Java and R (Chapman & Hall Computer Science and Data Analysis)

  Published 7 years ago

  by Fionn Murtagh, Chapman & Hall/CRC

  Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater than ever.

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