Aljarah ibrahim (52 risultati)
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Hardback. Condizione: New. The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning no…w touches nearly every aspect of modern life. Yet, for those beginning their journey into AI, the field can feel daunting-particularly with the increasing complexity of deep learning and generative models. In the midst of this fast-paced evolution, it is easy to overlook the foundational ideas that make these breakthroughs possible.This book is written to bridge this gap and was born from the belief that a solid understanding of classical machine learning is not just helpful, but essential for truly grasping the advanced and modern models shaping today's AI landscape. The authors' goal is to explain classical models clearly and intuitively, while also providing hands-on Python implementations that bring these models to life and offering, as such, a balanced practical approach.The authors cover a wide range of foundational topics, from linear regression and logistic regression to decision trees, ensemble methods, clustering, dimensionality reduction, neural networks, and convolutional operations. Emerging ideas like Cubixel representation in image processing are also presented, providing a forward-looking perspective on evolving practices. Each chapter builds on the last, combining theory, math, and code in a way that is accessible to students, researchers, and professionals alike.The book assumes a working knowledge of Linear Algebra and Calculus, as many algorithms rely on these mathematical underpinnings. A solid foundation in Python is also recommended, since practical examples and implementations are written in Python with widely used libraries such as NumPy, pandas, scikit-learn, and TensorFlow. Whether you're an aspiring machine learning engineer, a data scientist transitioning from another field, or an academic looking to refresh your knowledge, this book aims to be a practical companion on your learning journey.
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EUR 128,69
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Hardback. Condizione: New. The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning no…w touches nearly every aspect of modern life. Yet, for those beginning their journey into AI, the field can feel daunting-particularly with the increasing complexity of deep learning and generative models. In the midst of this fast-paced evolution, it is easy to overlook the foundational ideas that make these breakthroughs possible.This book is written to bridge this gap and was born from the belief that a solid understanding of classical machine learning is not just helpful, but essential for truly grasping the advanced and modern models shaping today's AI landscape. The authors' goal is to explain classical models clearly and intuitively, while also providing hands-on Python implementations that bring these models to life and offering, as such, a balanced practical approach.The authors cover a wide range of foundational topics, from linear regression and logistic regression to decision trees, ensemble methods, clustering, dimensionality reduction, neural networks, and convolutional operations. Emerging ideas like Cubixel representation in image processing are also presented, providing a forward-looking perspective on evolving practices. Each chapter builds on the last, combining theory, math, and code in a way that is accessible to students, researchers, and professionals alike.The book assumes a working knowledge of Linear Algebra and Calculus, as many algorithms rely on these mathematical underpinnings. A solid foundation in Python is also recommended, since practical examples and implementations are written in Python with widely used libraries such as NumPy, pandas, scikit-learn, and TensorFlow. Whether you're an aspiring machine learning engineer, a data scientist transitioning from another field, or an academic looking to refresh your knowledge, this book aims to be a practical companion on your learning journey.
Lingua: Inglese
Editore: Springer, 2020
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 190,53
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Lingua: Inglese
Editore: Springer, 2021
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EUR 190,53
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Lingua: Inglese
Editore: Springer, 2022
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EUR 190,53
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Lingua: Inglese
Editore: Springer, 2019
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Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Lingua: Inglese
Editore: Springer, 2019
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EUR 190,51
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Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Lingua: Inglese
Editore: Springer, 2019
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Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Lingua: Inglese
Editore: Springer, 2019
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Lingua: Inglese
Editore: Springer, 2020
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Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Lingua: Inglese
Editore: Springer, 2019
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Altre immaginiLingua: Inglese
Editore: Springer, 2022
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 167,00
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Taschenbuch. Condizione: Neu. Evolutionary Data Clustering: Algorithms and Applications | Ibrahim Aljarah (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | xii | Englisch | 2022 | Springer | EAN 9789813341937 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]ha…rtmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, 2021
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Lingua: Inglese
Editore: Springer, 2022
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EUR 249,00
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, 2019
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EUR 251,06
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Condizione: New. pp. X, 286 72 illus., 55 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2021
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 198,81
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clu…stering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering indiverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
Lingua: Inglese
Editore: Springer, Springer, 2022
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 199,77
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolution…ary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering indiverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2019
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 198,81
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machine…s, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.The book provides essential definitions, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons of classical training algorithms. It features a range of proven and recent nature-inspired algorithms used to train different types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer, whale optimization algorithm, ant lion optimizer, moth flame algorithm, dragonfly algorithm, salp swarm algorithm, multi-verse optimizer, and sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression problems in diverse fields.
Lingua: Inglese
Editore: Springer, Springer, 2020
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 201,36
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector…machines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.The book provides essential definitions, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons of classical training algorithms. It features a range of proven and recent nature-inspired algorithms used to train different types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer, whale optimization algorithm, ant lion optimizer, moth flame algorithm, dragonfly algorithm, salp swarm algorithm, multi-verse optimizer, and sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression problems in diverse fields.
Evolutionary Machine Learning Techniques: Algorithms and Applications
Mirjalili, Seyedali (Editor)/ Faris, Hossam (Editor)/ Aljarah, Ibrahim (Editor)
Lingua: Inglese
Editore: Springer Nature, 2020
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 272,88
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Paperback. Condizione: Brand New. 296 pages. 9.25x6.10x0.94 inches. In Stock.
Evolutionary Data Clustering: Algorithms and Applications
Aljarah, Ibrahim (Editor)/ Faris, Hossam (Editor)/ Mirjalili, Seyedali (Editor)
Lingua: Inglese
Editore: Springer Nature, 2021
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 274,29
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Hardcover. Condizione: Brand New. 260 pages. 9.25x6.10x9.21 inches. In Stock.
Evolutionary Machine Learning Techniques: Algorithms and Applications
Mirjalili, Seyedali (Editor)/ Faris, Hossam (Editor)/ Aljarah, Ibrahim (Editor)
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 274,86
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Hardcover. Condizione: Brand New. 298 pages. 9.25x6.10x0.87 inches. In Stock.
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- Print on Demand
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EUR 88,94
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Hardcover. Condizione: Brand New. 300 pages. 9.26x6.11x9.21 inches. In Stock. This item is printed on demand.
