9781108843607 - Machine Learning: a First Course for Engineers and Scientists by Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B. (37 results)
- Hardcover
Seller: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
Contact seller5-star sellerCondition: Used - Fair
US$ 30.32
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Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2022.
- Softcover
Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
Contact seller5-star sellerCondition: Used - Very good
US$ 36.34
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Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas,Wahlstrà m, Niklas,Lindsten, Fredrik,Schà n, Thomas B.
- Hardcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
Contact seller4-star sellerCondition: Used - Very good
US$ 42.21
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hardcover. Condition: Very Good. Cover and edges may have some wear.
- Hardcover
Seller: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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US$ 48.89
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hardcover. Condition: Good. New. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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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US$ 61.89
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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.
- Hardcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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US$ 62.39
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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: New
US$ 69.58
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Condition: New.
- Hardcover
Seller: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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US$ 68.24
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hardcover. Condition: New. New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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
US$ 44.84
US$ 30.81 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
US$ 72.73
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: Used
US$ 72.43
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Condition: Used. pp. 350 New edition niversity Press.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 68.86
US$ 8.71 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: Used. pp. 350.
- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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US$ 79.48
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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US$ 75.51
US$ 9.05 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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US$ 72.92
US$ 11.36 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: Used. pp. 350.
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
US$ 85.00
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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
US$ 76.09
US$ 20.09 shippingShips from United Kingdom to U.S.A.Quantity: 7 available
Condition: New.
Machine Learning: A First Course for Engineers and Scientists
Andreas Lindholm,Niklas Wahlstr�m,Fredrik Lindsten,Thomas B. Sch�n
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
Contact seller5-star sellerCondition: New
US$ 77.19
US$ 20.75 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: New.
Machine Learning: A First Course for Engineers and Scientists
Andreas Lindholm,Niklas Wahlstr�m,Fredrik Lindsten,Thomas B. Sch�n
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
Contact seller5-star sellerCondition: New
US$ 82.59
US$ 20.75 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. 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
US$ 88.45
US$ 16.05 shippingShips from United Kingdom to U.S.A.Quantity: 6 available
Condition: New. In.
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
US$ 93.89
US$ 11.99 shippingShips from Ireland to U.S.A.Quantity: 1 available
Condition: New. 2022. New. Hardcover. . . . . .
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
US$ 87.33
US$ 20.09 shippingShips from United Kingdom to U.S.A.Quantity: 7 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 81.17
US$ 26.27 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.
- Hardcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
Contact seller5-star sellerCondition: New
US$ 81.17
US$ 26.27 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.
- Hardcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
Contact seller5-star sellerCondition: New
US$ 81.17
US$ 29.64 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.
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
US$ 115.11
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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.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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US$ 109.60
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Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
- Hardcover
Seller: moluna, Greven, Germanymoluna
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US$ 74.06
US$ 55.95 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
US$ 120.58
US$ 16.74 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock.
- Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 81.17
US$ 68.53 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.
