Trappenberg thomas (48 résultats)
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Vendeur : Books From California, Simi Valley, Etats-UnisBooks From California
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EUR 43,45
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paperback. Etat : Very Good. Cover and edges may have some wear.
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Vendeur : Goodwill Southern California, Los Angeles, Etats-UnisGoodwill Southern California
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EUR 48,95
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Etat : good. Paperback Book.
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Vendeur : MERS Goodwill, Saint Louis, Etats-UnisMERS Goodwill
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EUR 52,51
EUR 3,47 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Etat : good. Used - Good: All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Any access codes… or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
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EUR 60,47
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Etat : New.
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Vendeur : Rarewaves.com USA, London, Royaume-UniRarewaves.com USA
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EUR 64,43
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a fundamental part of everyday life. This book is a brief introduction to this area - exploring its importance in a range of many disciplines, from science to engineering…, and even its broader impact on our society. The book is written in a style that strikes a balance between brevity of explanation, rigorous mathematical argument, and outlines principle ideas. At the same time, it provides a comprehensive overview of a variety of methods and their application within this field. This includes an introduction to Bayesian approaches to modeling, as well as deep learning. Writing small programs to apply machine learning techniques is made easy by high level programming systems, and this book shows examples in Python with the machine learning libraries 'sklearn' and 'Keras'. The first four chapters concentrate on the practical side of applying machine learning techniques. The following four chapters discuss more fundamental concepts that includes their formulation in a probabilistic context. This is followed by two more chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society.Fundamentals of Machine Learning provides a brief and accessible introduction to this rapidly growing field, one that will appeal to students and researchers across computer science and computational neuroscience, as well as the broader cognitive sciences.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
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EUR 62,68
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Etat : As New. Unread book in perfect condition.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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EUR 58,54
EUR 13,88 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
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EUR 58,53
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Etat : New.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Satisfaisant
EUR 76,20
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Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, IrlandeKennys Bookshop and Art Galleries Ltd.
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EUR 66,88
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Etat : New.
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Vendeur : Mooney's bookstore, Den Helder, Pays-BasMooney's bookstore
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EUR 62,47
EUR 14,95 expéditionExpédition depuis Pays-Bas vers Etats-UnisQuantité disponible : 1 disponible(s)
Etat : Very good.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
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EUR 79,83
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Etat : New.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
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EUR 64,49
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Etat : As New. Unread book in perfect condition.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
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EUR 82,67
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Etat : As New. Unread book in perfect condition.
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Vendeur : Rarewaves.com USA, London, Royaume-UniRarewaves.com USA
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EUR 86,86
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. 2nd. Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered t…o establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing ourunderstanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic.The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses theirrelevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies.Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 75,73
EUR 13,88 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. In English.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
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EUR 90,29
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Etat : New.
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Vendeur : INDOO, Avenel, Etats-UnisINDOO
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EUR 92,66
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Etat : New.
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Vendeur : Grand Eagle Retail, Bensenville, Etats-UnisGrand Eagle Retail
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EUR 92,69
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gath…ered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing ourunderstanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic.The new edition of Fundamentals ofComputational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance forinformation processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies.Each chapter startsby introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Vendeur : Kennys Bookstore, Olney, Etats-UnisKennys Bookstore
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 84,15
EUR 9,10 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 75,72
EUR 17,38 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 83,12
EUR 17,38 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : As New. Unread book in perfect condition.
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- Édition originale
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, IrlandeKennys Bookshop and Art Galleries Ltd.
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EUR 87,68
EUR 10,50 expéditionExpédition depuis Irlande vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. Num Pages: 416 pages, numerous figures.… BIC Classification: JML; JMM; PBWL; PSAN. Category: (UU) Undergraduate. Dimension: 246 x 192 x 25. Weight in Grams: 784. . 2010. 2nd Edition. paperback. . . . .
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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EUR 87,61
EUR 14,48 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 2 disponible(s)
Paperback. Etat : Brand New. 247 pages. 9.75x7.50x0.50 inches. In Stock.
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Vendeur : GreatBookPrices, Columbia, Etats-UnisGreatBookPrices
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EUR 101,22
EUR 2,29 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Etat : As New. Unread book in perfect condition.
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-UniTHE SAINT BOOKSTORE
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EUR 100,72
EUR 15,00 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 15 disponible(s)
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
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Vendeur : GoldBooks, Denver, Etats-UnisGoldBooks
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EUR 113,99
EUR 4,77 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. New Copy. Customer Service Guaranteed.
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Vendeur : Kennys Bookstore, Olney, Etats-UnisKennys Bookstore
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EUR 111,07
EUR 9,10 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. Num Pages: 416 pages, numerous figures.… BIC Classification: JML; JMM; PBWL; PSAN. Category: (UU) Undergraduate. Dimension: 246 x 192 x 25. Weight in Grams: 784. . 2010. 2nd Edition. paperback. . . . . Books ship from the US and Ireland.
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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EUR 121,67
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Paperback. Etat : Brand New. 2nd edition. 400 pages. 9.75x7.50x1.25 inches. In Stock.
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Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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EUR 59,78
EUR 75,29 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. Interest in machine learning is exploding worldwide, both in research and for industrial applications. Machine learning is fast becoming a fundamental part of everyday life. This book is a brief introduction to this area - exploring its importance in a range of many disciplines, from science to engineering…, and even its broader impact on our society. The book is written in a style that strikes a balance between brevity of explanation, rigorous mathematical argument, and outlines principle ideas. At the same time, it provides a comprehensive overview of a variety of methods and their application within this field. This includes an introduction to Bayesian approaches to modeling, as well as deep learning. Writing small programs to apply machine learning techniques is made easy by high level programming systems, and this book shows examples in Python with the machine learning libraries 'sklearn' and 'Keras'. The first four chapters concentrate on the practical side of applying machine learning techniques. The following four chapters discuss more fundamental concepts that includes their formulation in a probabilistic context. This is followed by two more chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society.Fundamentals of Machine Learning provides a brief and accessible introduction to this rapidly growing field, one that will appeal to students and researchers across computer science and computational neuroscience, as well as the broader cognitive sciences.
