Items related to Machine Learning Hybridization and Optimization for...
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques) - Hardcover
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.
Search results for Machine Learning Hybridization and Optimization for...
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 394452414
Quantity: 3 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 47625444-n
Quantity: Over 20 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. 1st edition NO-PA16APR2015-KAP. Seller Inventory # 26401957473
Quantity: 4 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781032737539_new
Quantity: Over 20 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 47625444
Quantity: Over 20 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 47625444
Quantity: Over 20 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 47625444-n
Quantity: Over 20 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 384 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand. Seller Inventory # __1032737530
Quantity: 1 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Hardcover)
Published by
Taylor & Francis Ltd, London, 2024
ISBN 10: 1032737530
ISBN 13: 9781032737539
New
Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032737539
Quantity: 1 available
Stock Image
Machine Learning Hybridization and Optimization for Intelligent Applications (Computational Intelligence Techniques)
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18401957483
Quantity: 4 available