Scalable and Distributed Machine Learning and Deep Learning Patterns

Author:   J. Joshua Thomas ,  S. Harini ,  V. Pattabiraman
Publisher:   IGI Global
ISBN:  

9781668498040


Pages:   286
Publication Date:   31 August 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Scalable and Distributed Machine Learning and Deep Learning Patterns


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Author:   J. Joshua Thomas ,  S. Harini ,  V. Pattabiraman
Publisher:   IGI Global
Imprint:   IGI Global
Weight:   0.272kg
ISBN:  

9781668498040


ISBN 10:   1668498049
Pages:   286
Publication Date:   31 August 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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J. Joshua Thomas is a senior lecturer at KDU Penang University College, Malaysia since 2008. He obtained his PhD (Intelligent Systems Techniques) in 2015 from University Sains Malaysia, Penang, and Master's degree in 1999 from Madurai Kamaraj University, India. From July to September 2005, he worked as a research assistant at the Artificial Intelligence Lab in University Sains Malaysia. From March 2008 to March 2010, he worked as a research associate at the same University. Currently, he is working with Machine Learning, Big Data, Data Analytics, Deep Learning, specially targeting on Convolutional Neural Networks (CNN) and Bi-directional Recurrent Neural Networks (RNN) for image tagging with embedded natural language processing, End to end steering learning systems and GAN. His work involves experimental research with software prototypes and mathematical modelling and design He is an editorial board member for the Journal of Energy Optimization and Engineering (IJEOE), and invited guest editor for Journal of Visual Languages Communication (JVLC-Elsevier). He has published more than 30 papers in leading international conference proceedings and peer reviewed journals.

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