Schön thomas b (9 Ergebnisse)
- Weitere Bilder
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
- Softcover
Anbieter: True Oak Books, Highland, NY, USATrue Oak Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenVerbandsmitglied: IOBA
Zustand: Gebraucht - Befriedigend
EUR 22,26
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Paperback. Zustand: 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 satisfaction…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.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 56,20
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
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.
Machine Learning: A First Course for Engineers and Scientists
Lindholm, Andreas; Wahlström, Niklas; Lindsten, Fredrik; Schön, Thomas B.
- Hardcover
- Erstausgabe
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes KönigreichPrior Books Ltd
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Wie neu
EUR 39,13
EUR 25,71 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
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 v…ery 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
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 73,48
EUR 14,00 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 7 verfügbar
Zustand: New. In.
- Softcover
Anbieter: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Vereinigtes KönigreichHay-on-Wye Booksellers
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Gebraucht - Wie neu
EUR 70,03
EUR 29,22 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: Used Like New. NEW & UNREAD. Light storage scuffs & scratches to the softcover. Faint marks to the textblock edge. Content as new.
- Weitere Bilder
- Hardcover
Anbieter: moluna, Greven, Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 62,95
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Zustand: 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
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 104,82
EUR 14,61 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Hardcover. Zustand: Brand New. 325 pages. 10.20x7.20x0.80 inches. In Stock.
- Weitere Bilder
- Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 69,00
EUR 60,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: 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 logis…tic 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.
- Weitere Bilder
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 69,00
EUR 64,29 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Buch. Zustand: 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 logi…stic 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.
