Srikanta Patnaik

Sonali Das

Leandros A. Maglaras

Naliniprava Tripathy

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.

Machine Learning Approaches in Financial Analytics

Kevin Jones

Helge Janicke

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Industrial Networks and Intelligent Systems, INISCOM 2016 held in Leicester, UK, October 31 – November 1, 2016. The 15 revised full papers carefully reviewed and selected from 22 submissions. The papers cover topics on industrial networks and applications, intelligent systems, information processing and data analysis, hardware and software design and development, security and privacy.

Leandros A. Maglaras

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