9781108843607 - machine learning: a first course for engineers and scientists de lindholm, andreas; wahlström, niklas; lindsten, fredrik; schön, thomas b. (40 resultados)
- Tapa dura
Librería: Marlton Books, Bridgeton, NJ, Estados Unidos de AmericaMarlton Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Regular
EUR 24,55
Envío por EUR 2,63Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2022.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas,Wahlstrà m, Niklas,Lindsten, Fredrik,Schà n, Thomas B.
- Tapa dura
Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Bueno
EUR 33,33
Envío por EUR 4,37Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
hardcover. Condición: Very Good. Cover and edges may have some wear.
Idioma: Inglés
Editorial: Cambridge University Press, United Kingdom, Cambridge, 2022
- Tapa blanda
Librería: WorldofBooks, Goring-By-Sea, WS, Reino UnidoWorldofBooks
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 31,90
Envío por EUR 6,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Paperback. Condición: Very Good. 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 l…ogistic 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. 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; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 47,40
Envío por EUR 2,31Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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.
- Tapa dura
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de AmericaTextbooks_Source
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 46,19
Envío por EUR 3,50Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
hardcover. Condición: 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.
- Tapa dura
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de AmericaRomtrade Corp.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 56,83
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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.
- Tapa dura
Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 56,83
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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.
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 62,92
Envío por EUR 2,31Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: New.
- Tapa dura
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de AmericaTextbooks_Source
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 61,71
Envío por EUR 3,50Se envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
hardcover. Condición: 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.
- Tapa dura
- Primera edición
Librería: Prior Books Ltd, Cheltenham, Reino UnidoPrior Books Ltd
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 39,39
Envío por EUR 25,88Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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.
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 64,91
Envío por EUR 2,31Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa dura
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 71,71
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa dura
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado
EUR 70,05
Envío por EUR 3,50Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Used. pp. 350 New edition niversity Press.
- Tapa dura
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado
EUR 67,20
Envío por EUR 7,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Used. pp. 350.
- Tapa dura
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 66,89
Envío por EUR 7,95Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Tapa dura
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 76,69
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
- Tapa dura
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado
EUR 66,41
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Used. pp. 350.
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 66,88
Envío por EUR 17,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: New.
Machine Learning: A First Course for Engineers and Scientists
Andreas Lindholm,Niklas Wahlstr�m,Fredrik Lindsten,Thomas B. Sch�n
- Tapa dura
Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 67,81
Envío por EUR 18,22Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: New.
- Tapa dura
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 91,29
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.
Machine Learning: A First Course for Engineers and Scientists
Andreas Lindholm,Niklas Wahlstr�m,Fredrik Lindsten,Thomas B. Sch�n
- Tapa dura
Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 72,55
Envío por EUR 18,22Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: New.
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 73,03
Envío por EUR 17,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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.
- Tapa dura
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 77,70
Envío por EUR 14,10Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: New. In.
- Tapa dura
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 79,81
Envío por EUR 10,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: New. 2022. New. Hardcover. . . . . .
Machine Learning : A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 76,74
Envío por EUR 17,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 7 disponibles
Condición: As New. Unread book in perfect condition.
- Tapa dura
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 70,00
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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.
- Tapa dura
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, AlemaniaRheinberg-Buch Andreas Meier eK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 70,00
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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.
- Tapa dura
Librería: Wegmann1855, Zwiesel, AlemaniaWegmann1855
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 70,00
Envío por EUR 25,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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.
- Tapa dura
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 104,50
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardback. Condición: 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.
- Tapa dura
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 99,05
Envío por EUR 9,20Se envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
