Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques) - Softcover
Synopsis
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 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.
"synopsis" may belong to another edition of this title.
About the Author
Tanvir Habib Sardar is an Assistant Professor in the department of CSE at GITAM University, Bengaluru campus. He has more than fifteen years of experience in industry and academia. His research domain is big data, machine learning, fuzzy logic, and distributed computing using MapReduce.
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.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Machine Learning Hybridization and Optimization for...
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: California Books, Miami, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # I-9781032737645
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 407639274
Buy New
US$ 91.34
US$ 8.58 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 3 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781032737645
Buy New
US$ 101.80
US$ 12.35 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Paperback)
Published by
Taylor & Francis Ltd, London, 2026
ISBN 10: 1032737646
ISBN 13: 9781032737645
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 applicationsThis book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032737645
Buy New
US$ 66.59
US$ 48.83 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 18406563647
Buy New
US$ 110.97
US$ 11.33 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 3 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26406563637
Stock Image
Machine Learning Hybridization And Optimization For Intelligent Applications
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 338 pages. 6.14x0.76x9.21 inches. In Stock. Seller Inventory # x-1032737646
Buy New
US$ 131.47
US$ 16.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 2 available
Seller Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Tanvir Habib Sardar is an Assistant Professor in the department of CSE at GITAM University, Bengaluru campus. He has more than fifteen years of experience in industry and academia. His research domain is big data, machine learning, fuzzy logic, and distr. Seller Inventory # 3236057075
Buy New
US$ 103.92
US$ 55.78 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Published by
Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032737646
ISBN 13: 9781032737645
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware - 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 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. Seller Inventory # 9781032737645
Buy New
US$ 141.23
US$ 71.27 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available