Machine Learning: A First Course for Engineers and Scientists - Hardcover

Lindholm, Andreas ; Wahlstr�m, Niklas ; Lindsten, Fredrik ; Sch�n, Thomas B.

9781108843607: Machine Learning: A First Course for Engineers and Scientists

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ISBN 10: 1108843603 ISBN 13: 9781108843607

Verlag: Cambridge University Pr., 2022

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Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art, in a coherent statistical framework.

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�ber die Autorin bzw. den Autor

Andreas Lindholm is a machine learning research engineer at Annotell, Gothenburg, working with data annotation and data quality questions for autonomous driving. He received his MSc degree in 2013 from Link�ping University (including studies at ETH Z�rich and UC Santa Barbara). He received his PhD degree in 2018 from the Department of Information Technology, Uppsala University. At the time of writing this book he was a postdoctoral researcher at the same department. Throughout his entire academic career he has had a particular interest in teaching applied mathematical subjects.

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Verlag: Cambridge University Pr.
Erscheinungsdatum: 2022
Sprache: Englisch
ISBN 10: 1108843603
ISBN 13: 9781108843607
Einband: Gebundene Ausgabe
Anzahl der Seiten: 338
Kontakt zum Hersteller: Cambridge University Press
https://www.cambridge.org/

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Machine Learning: A First Course for Engineers and Scientists

Lindholm, Andreas,Wahlstr� m, Niklas,Lindsten, Fredrik,Sch� n, Thomas B.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108843603 ISBN 13: 9781108843607

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hardcover. Zustand: Very Good. Cover and edges may have some wear. Artikel-Nr. mon0003867974

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Machine Learning: A First Course for Engineers and Scientists

Andreas Lindholm

Verlag: Cambridge University Press, United Kingdom, Cambridge, 2022

ISBN 10: 1108843603 ISBN 13: 9781108843607

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Paperback. Zustand: 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 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR013207830

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Machine Learning: A First Course for Engineers and Scientists

Lindholm, Andreas; Wahlstr�m, Niklas; Lindsten, Fredrik; Sch�n, Thomas B.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108843603 ISBN 13: 9781108843607

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Zustand: 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. Artikel-Nr. ABBB-151896

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Machine Learning: A First Course for Engineers and Scientists

Lindholm, Andreas; Wahlstr�m, Niklas; Lindsten, Fredrik; Sch�n, Thomas B.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108843603 ISBN 13: 9781108843607

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Hardcover. Zustand: 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. Artikel-Nr. 203938

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