Skip to Content

Books by Subject

Machine Learning Books

You are currently browsing 1–10 of 99 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. 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 22nd 2014 by Chapman and Hall/CRC

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Soft Computing and Its Applications, Volume One

    A Unified Engineering Concept

    By Kumar S. Ray

    This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various...

    Published September 15th 2014 by Apple Academic Press

  9. Exploring Neural Networks with C#

    By Ryszard Tadeusiewicz, Rituparna Chaki, Nabendu Chaki

    The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations—making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C#...

    Published September 1st 2014 by CRC Press

  10. Case Studies in Secure Computing

    Achievements and Trends

    Edited by Biju Issac, Nauman Israr

    In today’s age of wireless and mobile computing, network and computer security is paramount. Case Studies in Secure Computing: Achievements and Trends gathers the latest research from researchers who share their insights and best practices through illustrative case studies.This book examines the...

    Published August 28th 2014 by Auerbach Publications