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Studies in Computational Intelligence
cover

Implementations and Applications of Machine Learning

Editors: Subair, Saad, Thron, Christopher (Eds.)

  • Presents practical, useful applications of machine learning for practitioners, students, and researchers
  • Provides hands-on tools for a variety of machine learning techniques
  • Covers evolutionary and swarm intelligence, facial and image recognition, deep learning, data mining and discovery, and statistical techniques
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Buy this book

eBook $139.00
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: June 5, 2020
  • ISBN 978-3-030-37830-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $179.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: May 8, 2020
  • ISBN 978-3-030-37829-5
  • Free shipping for individuals worldwide
About this book

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book’s GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming.  This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.

About the authors

Saad Subair was born on the banks of the river Nile, a few kilometers away from the capital Khartoum He is a Professor of Bioinformatics and Computer Science at the College of Computer Studies, International University of Africa (IUA), Khartoum, Sudan. Prof. Subair obtained a BSc from the University of Khartoum, PGD, MSc (Computer Science) and PhD (Bioinformatics) from UTM, Malaysia, and  an MSc in Genetics from UPM, Malaysia He is an author and/or contributing author to several books, articles, and scientific papers published in USA, Germany, Malaysia, India, and Arabia. He has been Keynote Speaker in numerous regional conferences. Prof. Subair is a member of scientific and academic committees in multiple universities in the Gulf region including Princess Nourah bint Abdulrahman University at Riyadh, KSA.  Prof Subair has trained hundreds of students in the fields of machine learning and bioinformatics, and has supervised and/or advised several research students who have achieved further successes in the UK and USA.

Christopher P. Thron is Associate Professor of Mathematics at Texas A&M University of Central Texas. Previously he spent a dozen years in the semiconductor industry as a systems engineer for NEC, Motorola, Freescale, and NXP. Besides consulting for various companies, Dr. Thron has obtained 3 Fulbright visiting professor fellowships and 3 U.S. Air Force faculty fellowships. He has conducted workshops and seminars in mathematical/machine learning software in several countries in Africa, as well as for the U.S. Army’s Operational Test Command. Dr. Thron’s research focuses on mathematical and statistical modeling in multiple areas of industrial mathematics, including operations research, signal processing, epidemiology, public health, and physics.  He holds nine U.S. patents, and has published over 30 peer-reviewed articles.

Buy this book

eBook $139.00
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • Due: June 5, 2020
  • ISBN 978-3-030-37830-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $179.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: May 8, 2020
  • ISBN 978-3-030-37829-5
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Implementations and Applications of Machine Learning
Editors
  • Saad Subair
  • Christopher Thron
Series Title
Studies in Computational Intelligence
Series Volume
782
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-37830-1
DOI
10.1007/978-3-030-37830-1
Hardcover ISBN
978-3-030-37829-5
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 280
Number of Illustrations
28 b/w illustrations, 92 illustrations in colour
Topics