
Machine Learning Hybridization and Optimization for Intelligent Applications
Description
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Features:
Focuses on hybridization and optimization of machine learning techniques
Reviews supervised, unsupervised, and reinforcement learning using case study-based applications
Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing
Explains computing models using real-world examples and dataset-based experiments
Includes case study-based explanations and usage for machine learning technologies and applications
This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
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Persons
Bishwajeet Kumar Pandey is a Professor at Department of Intelligent System and Cyber Security, Astana IT University Kazaksthan. He is also a visiting professor at Eurasian National University, Astana, Kazaksthan (QS World Rank 355) and UCSI University, Kuala Lumpur, Malaysia (QS World Rank 300). He has interest in Green Computing, High-Performance Computing, Cyber-Physical Systems, Machine Learning, and Cyber Security.
Content
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File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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