Schön Thomas B (22 results)
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Leadership and Organizational Culture New Perspectives on Administrative Theory and Practice
Sergiovanni, Thomas & John E Corbally & James G March & Donald A Schon & Warren Bennis & Barry M Staw & Peter B Vaill & William Taylor & Thomas B Greenfield & Paul Hirsch & John A. Y. Andrews & John W Meyer & Graham T Allison & William P Fos
Language: English
Published by University of Illinois Press, Urbana, IL, 1986
- Softcover
Seller: True Oak Books, Highland, NY, U.S.A.True Oak Books
Contact seller5-star sellerAssociation member: IOBA
Condition: Used - Good
£ 19.23
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Paperback. Condition: Good. Reissue Edition; First Printing. 6 X 1.2 X 9 inches; 339 pages; dog-earing on the top corner of some pages. Rubbing and light creasing on the covers. Light curl on book's body. Light wear on the head of the spine. Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfactio…n is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - Good
£ 40.48
£ 1.97 shippingShips within U.S.A.Quantity: 1 available
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.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
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£ 48.54
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 53.74
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Condition: New.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
- First Edition
Seller: Prior Books Ltd, Cheltenham, United KingdomPrior Books Ltd
Contact seller5-star sellerCondition: Used - As new
£ 32.50
£ 22.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Like New. First Edition. Hardback book in nearly new condition: firm and square with strong joints. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a… very nice book in great condition, now offered for sale at a reasonable price.
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 55.03
£ 1.97 shippingShips within U.S.A.Quantity: 1 available
Condition: As New. Unread book in perfect condition.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 65.50
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Condition: New.
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
£ 55.18
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 7 available
Condition: New.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
Contact seller5-star sellerCondition: New
£ 64.12
£ 11.98 shippingShips from United Kingdom to U.S.A.Quantity: 7 available
Condition: New. In.
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Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - Good
£ 63.39
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
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.
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
£ 63.84
£ 15.00 shippingShips from United Kingdom to U.S.A.Quantity: 7 available
Condition: As New. Unread book in perfect condition.
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- Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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£ 61.41
£ 19.73 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Neuware -This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and log…istic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning. Englisch.
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- Hardcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
Contact seller5-star sellerCondition: New
£ 61.41
£ 19.73 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Neuware -This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and log…istic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning. Englisch.
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- Hardcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
Contact seller5-star sellerCondition: New
£ 61.41
£ 22.26 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Neuware -This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and log…istic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
- Softcover
Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United KingdomHay-on-Wye Booksellers
Contact seller4-star sellerCondition: Used - As new
£ 58.17
£ 25.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: Used Like New. NEW & UNREAD. Light storage scuffs & scratches to the softcover. Faint marks to the textblock edge. Content as new.
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- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 88.43
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Hardback. Condition: New. This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic… regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
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- Hardcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 55.99
£ 42.03 shippingShips from Germany to U.S.A.Quantity: 2 available
Condition: New. This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as d.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas/ Wahlström, Niklas/ Lindsten, Fredrik/ Schön, Thomas B.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 87.93
£ 12.50 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock.
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- Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 61.41
£ 51.47 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Neuware -This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and log…istic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.
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- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 61.41
£ 55.15 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. Neuware - This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and lo…gistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
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- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 80.60
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardback. Condition: New. This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic… regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas/ Wahlström, Niklas/ Lindsten, Fredrik/ Schön, Thomas B.
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 60.41
£ 12.50 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock. This item is printed on demand.
