Description: This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features:Focuses on hybridization and optimization of machine learning techniquesReviews supervised, unsupervised, and reinforcement learning using case study-based applicationsCovers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computingExplains computing models using real-world examples and dataset-based experimentsIncludes 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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EAN: 9781032737539
UPC: 9781032737539
ISBN: 9781032737539
MPN: N/A
Format: Hardback, 338 pages
Author: Tanvir Habib Sardar (Edited by)
Book Title: Machine Learning Hybridization and Optimization fo
Item Height: 2.1 cm
Item Length: 23.4 cm
Item Weight: 0.69 kg
Item Width: 15.6 cm
Language: Eng
Publisher: CRC Press
