Trappenberg Thomas (48 results)
- Softcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
Contact seller4-star sellerCondition: Used - Very good
£ 37.51
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paperback. Condition: Very Good. Cover and edges may have some wear.
- Softcover
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.Goodwill Southern California
Contact seller5-star sellerCondition: Used - Good
£ 42.26
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Condition: good. Paperback Book.
- Softcover
Seller: MERS Goodwill, Saint Louis, MO, U.S.A.MERS Goodwill
Contact seller5-star sellerCondition: Used - Good
£ 45.27
£ 2.99 shippingShips within U.S.A.Quantity: 1 available
Condition: 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 Any access c…odes or passwords originally included with the book may be expired, used or no longer valid.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.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 52.20
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Condition: New.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 55.62
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Paperback. Condition: 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 enginee…ring, 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.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 54.11
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 49.07
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Condition: New. In.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 49.06
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Condition: New.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - Good
£ 65.79
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Condition: 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.
- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
£ 59.47
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Condition: New.
- Softcover
Seller: Mooney's bookstore, Den Helder, NetherlandsMooney's bookstore
Contact seller4-star sellerCondition: Used - Very good
£ 55.54
£ 12.91 shippingShips from Netherlands to U.S.A.Quantity: 1 available
Condition: Very good.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
£ 68.92
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Condition: New.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 54.05
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 71.37
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 74.98
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Paperback. Condition: 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 gather…ed 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 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.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 63.48
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Condition: New. In English.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: New
£ 77.95
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Condition: New.
- Softcover
Seller: INDOO, Avenel, NJ, U.S.A.INDOO
Contact seller5-star sellerCondition: New
£ 79.99
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Condition: New.
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 80.02
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: 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…gathered 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.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contact seller5-star sellerCondition: New
£ 72.65
£ 7.86 shippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 63.47
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 69.67
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Softcover
- First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
£ 77.96
£ 9.06 shippingShips from Ireland to U.S.A.Quantity: Over 20 available
Condition: 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 figu…res. BIC Classification: JML; JMM; PBWL; PSAN. Category: (UU) Undergraduate. Dimension: 246 x 192 x 25. Weight in Grams: 784. . 2010. 2nd Edition. paperback. . . . .
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 73.39
£ 12.50 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Paperback. Condition: Brand New. 247 pages. 9.75x7.50x0.50 inches. In Stock.
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 87.38
£ 1.98 shippingShips within U.S.A.Quantity: 1 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
£ 84.42
£ 12.95 shippingShips from United Kingdom to U.S.A.Quantity: 15 available
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
- Softcover
Seller: GoldBooks, Denver, CO, U.S.A.GoldBooks
Contact seller5-star sellerCondition: New
£ 98.41
£ 4.12 shippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: new. New Copy. Customer Service Guaranteed.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contact seller5-star sellerCondition: New
£ 95.89
£ 7.86 shippingShips within U.S.A.Quantity: Over 20 available
Condition: 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 figu…res. 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.
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 101.98
£ 12.50 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: Brand New. 2nd edition. 400 pages. 9.75x7.50x1.25 inches. In Stock.
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 50.11
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: 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 enginee…ring, 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.
