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Books by Subject

Machine Learning Books

You are currently browsing 1–10 of 102 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. 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 24th 2015 by CRC Press

  2. 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 22nd 2015 by Chapman and Hall/CRC

  3. 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 27th 2015 by CRC Press

  4. 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 16th 2014 by Chapman and Hall/CRC

  5. 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 November 30th 2014 by CRC Press

  6. 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 6th 2014 by CRC Press

  7. 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 5th 2014 by Chapman and Hall/CRC

  8. Soft Computing and Its Applications

    Volumes One and Two

    By Kumar S. Ray

    This two-volume set explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The books start with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning and go on to discuss several advanced...

    Published October 27th 2014 by Apple Academic Press

  9. Regularization, Optimization, Kernels, and Support Vector Machines

    Edited by Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou

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

    Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and...

    Published October 22nd 2014 by Chapman and Hall/CRC

  10. Soft Computing and Its Applications, Volume Two

    Fuzzy Reasoning and Fuzzy Control

    By Kumar S. Ray

    This is volume 2 of the two-volume Soft Computing and Its Applications. This volume discusses several advanced features of soft computing and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for soft computing. The...

    Published October 6th 2014 by Apple Academic Press