Murphy kevin p (78 Ergebnisse)

Zustand: Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Kevin Murphy (illustrator).

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Kevin Murphy (illustrator).

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Kevin Murphy (illustrator).

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Kevin Murphy (illustrator).

Paperback. Zustand: Brand New. 28 pages. 11.81x8.94x0.16 inches. In Stock.

Zustand: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Hardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. : Descubre los secretos del agua con 'L'eau', un libro educativo para niños y jóvenes. Explora el ciclo del agua, los submarinos, el principio de Arquímedes y mucho más. Con experimentos y explicaciones sencillas, este libro es perfecto para despertar la curiosidad científica en los más pequeños. EAN: 9782215016274 Tipo: Libros Categoría: Infantil y Juvenil|Educación Título: L'eau Autor: Bryan Murphy| Kevin P. Murphy Editorial: Fleurus Idioma: fr-FR Páginas: 32 Formato: tapa blanda.…

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Hardcover. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: New. 2015. paperback. . . . . . Books ship from the US and Ireland.

Hardback. Zustand: Very Good. A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package-PMTK (probabilistic modeling toolkit)-that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.…

Zustand: New. pp. 260.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781444339444.…

Hardcover/Pappeinband. Zustand: Sehr gut. 376 p. Very good. Shrink wrapped. / Sehr guter Zustand. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 865.

Hardcover. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Brand New. 1st edition. 260 pages. 9.80x7.00x0.50 inches. In Stock.

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. In English.

Zustand: New. Editor(s): Murphy, Kevin P.; Pierce, Jennifer L. Num Pages: 376 pages, 38 b&w illustrations. BIC Classification: 1KBBN; HBJK; JFSJ. Category: (G) General (US: Trade). Dimension: 254 x 178 x 25. Weight in Grams: 612. . 2010. Paperback. . . . . Books ship from the US and Ireland.

Zustand: New. Num Pages: 320 pages, 13 illus. BIC Classification: 1KBB; HBJK; JFSK2; JHM. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 18. Weight in Grams: 448. . 2010. Reprint. Paperback. . . . . Books ship from the US and Ireland.

Zustand: New. Historicising Gender and Sexuality features a thought-provoking collection of essays that shed important new light on the historical intersections between gender and sexuality across time and space. Editor(s): Murphy, Kevin P.; Spear, Jennifer M. Series: Gender and History Special Issues. Num Pages: 260 pages, Illustrations. BIC Classification: HBTB; JFSJ. Category: (P) Professional & Vocational. Dimension: 248 x 176 x 13. Weight in Grams: 520. . 2011. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Soft cover. Zustand: Very Good. 1st Edition. Black mark across bottom edge o/w clean, unmarked copy with clean pages, firm hinges, solid crease-free spine with just hints of wear to the corners. VG+ condition overall. BP/Gay Studies.

Paperback. Zustand: Brand New. 376 pages. 10.00x7.00x0.90 inches. In Stock.

Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Taschenbuch. Zustand: Neu. Neuware - Historicising Gender and Sexuality features a diverse collection of essays that shed new light on the historical intersections between gender and sexuality across time and space.\* Demonstrates both the particularities of specific formulations of gender and sexuality and the nature of the relationship between the categories themselves\* Presents evidence that careful and contextualised analysis of the shifting relationship of gender and sexuality illuminates broader historical processes.…

Hardback. Zustand: Good. A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author's 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.…