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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
hardcover. Condition: New. New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Cover and edges may have some wear.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Fine.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: Prior Books Ltd, Cheltenham, United Kingdom
Association Member: ABA ILAB PBFA
Seller rating 5 out of 5 stars
First Edition
US$ 45.31
US$ 29.77 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. 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.
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Machine Learning : A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Condition: As New. Unread book in perfect condition.
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Machine Learning : A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Condition: New.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Condition: New.
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Machine Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Condition: New.
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Machine Learning
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning : A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.90
US$ 20.30 shipping
Ships from United Kingdom to U.S.A.Quantity: 7 available
Add to basketCondition: New.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press 2022-03-31, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
US$ 77.43
US$ 20.96 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: New.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 82.66
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Ships from United Kingdom to U.S.A.Quantity: 7 available
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. New. Hardcover. . . . . .
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Machine Learning : A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 88.54
US$ 20.30 shipping
Ships from United Kingdom to U.S.A.Quantity: 7 available
Add to basketCondition: As New. Unread book in perfect condition.
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Machine Learning
Language: English
Published by Cambridge University Pr. Mär 2022, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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 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. 338 pp. Englisch.
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Machine Learning
Language: English
Published by Cambridge University Pr. Mär 2022, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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 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. 338 pp. Englisch.
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Machine Learning
Language: English
Published by Cambridge University Pr. Mär 2022, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
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 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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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
US$ 107.50
US$ 8.80 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. 350.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press CUP, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Condition: New. pp. 350 New edition niversity Press.
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Machine Learning: A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
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MACHINE LEARNING
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
US$ 72.41
US$ 55.48 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: NEW.
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US$ 114.81
US$ 16.92 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock.
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Machine Learning
Language: English
Published by Cambridge University Pr., 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
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.
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Machine Learning (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
US$ 88.49
US$ 50.07 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. 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. 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 deep learning, Gaussian processes, random forests, support vector machines and boosting. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Machine Learning
Language: English
Published by Cambridge University Pr. Mär 2022, 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 338 pp. Englisch.
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MH2: Metalheart is Movement
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Good. Ex-Library.
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Machine Learning | A First Course for Engineers and Scientists
Language: English
Published by Cambridge University Pr., 2022
ISBN 10: 1108843603 ISBN 13: 9781108843607
Buch. Condition: Neu. Machine Learning | A First Course for Engineers and Scientists | Andreas Lindholm (u. a.) | Buch | Gebunden | Englisch | 2022 | Cambridge University Pr. | EAN 9781108843607 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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paperback. Condition: Good. Good paperback. Gently used with no markings in text. Binding is tight. Some light shelfwear to wraps. CD ROM included--scattered light marks on disc.
