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Chapman & Hall/CRC Computer Science & Data Analysis

Series Editor: DAVID BLEI, David Madigan, Marina Meila, Fionn Murtagh

New and Published Books

1-10 of 18 results in Chapman & Hall/CRC Computer Science & Data Analysis
  1. Statistics in MATLAB

    A Primer

    By MoonJung Cho, Wendy L. Martinez

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB® and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of...

    Published December 15th 2014 by Chapman and Hall/CRC

  2. Visualization and Verbalization of Data

    Edited by Jorg Blasius, Michael Greenacre

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their...

    Published April 10th 2014 by Chapman and Hall/CRC

  3. Foundations of Statistical Algorithms

    With References to R Packages

    By Claus Weihs, Olaf Mersmann, Uwe Ligges

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms....

    Published December 9th 2013 by Chapman and Hall/CRC

  4. Clustering

    A Data Recovery Approach, Second Edition

    By Boris Mirkin

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical...

    Published October 17th 2012 by Chapman and Hall/CRC

  5. Statistical Learning and Data Science

    Edited by Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new...

    Published December 19th 2011 by Chapman and Hall/CRC

  6. Exploratory Data Analysis with MATLAB, Second Edition

    By Wendy L. Martinez, Angel Martinez, Jeffrey Solka

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and...

    Published December 16th 2010 by CRC Press

  7. Bayesian Artificial Intelligence, Second Edition

    By Kevin B. Korb, Ann E. Nicholson

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal...

    Published December 16th 2010 by CRC Press

  8. Exploratory Multivariate Analysis by Example Using R

    By Francois Husson, Sebastien Le, Jerome Pages

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are...

    Published November 15th 2010 by CRC Press

  9. Microarray Image Analysis

    An Algorithmic Approach

    By Karl Fraser, Zidong Wang, Xiaohui Liu

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to...

    Published January 25th 2010 by Chapman and Hall/CRC

  10. Introduction to Data Technologies

    By Paul Murrell

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on...

    Published February 23rd 2009 by Chapman and Hall/CRC