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Books by Subject

Machine Learning Books

You are currently browsing 1–10 of 105 new and published books in the subject of Machine Learning — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books

  1. Digital Representations of the Real World

    How to Capture, Model, and Render Visual Reality

    Edited by Marcus A. Magnor, Oliver Grau, Olga Sorkine-Hornung, Christian Theobalt

    Create Genuine Visual Realism in Computer Graphics Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality explains how to portray visual worlds with a high degree of realism using the latest video acquisition technology, computer graphics methods, and computer...

    Published May 7th 2015 by A K Peters/CRC Press

  2. Statistical Learning with Sparsity

    The Lasso and Generalizations

    By Trevor Hastie, Robert Tibshirani, Martin Wainwright

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents...

    Published May 7th 2015 by Chapman and Hall/CRC

  3. Artificial Intelligence Tools

    Decision Support Systems in Condition Monitoring and DIagnosis

    By Diego Galar Pascual

    Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource: Addresses nearest-neighbor-based, clustering-based, statistical, and...

    Published April 22nd 2015 by CRC Press

  4. Social Big Data Mining

    By Hiroshi Ishikawa

    This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social...

    Published March 25th 2015 by CRC Press

  5. Big Data

    Algorithms, Analytics, and Applications

    Edited by Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea

    Series: Chapman & Hall/CRC Big Data Series

    As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly...

    Published February 23rd 2015 by Chapman and Hall/CRC

  6. Medical Image Processing

    Advanced Fuzzy Set Theoretic Techniques

    By Tamalika Chaira

    Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory, there has been an explosion of interest in advanced fuzzy set theories—such as intuitionistic fuzzy and Type II fuzzy set—that...

    Published January 28th 2015 by CRC Press

  7. Introduction to High-Dimensional Statistics

    By Christophe Giraud

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing...

    Published December 17th 2014 by Chapman and Hall/CRC

  8. Sparse Modeling

    Theory, Algorithms, and Applications

    By Irina Rish, Genady Grabarnik

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing. Sparse Modeling: Theory,...

    Published December 1st 2014 by CRC Press

  9. Biometric Technology

    Authentication, Biocryptography, and Cloud-Based Architecture

    By Ravi Das

    Most biometric books are either extraordinarily technical for technophiles or extremely elementary for the lay person. Striking a balance between the two, Biometric Technology: Authentication, Biocryptography, and Cloud-Based Architecture is ideal for business, IT, or security managers that are...

    Published November 7th 2014 by CRC Press

  10. Handbook of Mixed Membership Models and Their Applications

    Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling...

    Published November 6th 2014 by Chapman and Hall/CRC