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MIT Press (MA) 2004 Hard cover Book is in good condition and may contain underlining or highlighting and minimal wear. The book can also include library labels. May not contain miscellaneous items (toys, dvds, etc). We offer 100% money back guarantee and fast customer support.
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: The MIT Press] Hardcover 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! [Dallas, TX, U.S.A.] [Publication Year: 2004]
The MIT Press 2004 Hardcover 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!
UsedGood. Book is in good condition and may contain underlining or highlighting and minimal wear. The book can also include library labels. May not contain miscellaneous items (toys, dvds, etc). We offer 100% money back guarantee and fast customer support. ISBN 0262012111 9780262012119 [US]
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: Mit Pr] Hardcover Book is in good condition and may contain underlining or highlighting and minimal wear. The book can also include library labels. May not contain miscellaneous items (toys, dvds, etc). We offer 100% money back guarantee and fast customer support. [Lynden, WA, U.S.A.] [Publication Year: 2004]
Mit Pr 2004 Hardcover Fair Books may have damage such as dents creases and folded pages. Some books may have writing or highlighting inside. Extras or accessories are not guaranteed. Digital codes and CDs are not tested and may not work.
Mit Pr 2004 hardcover Very good Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: Mit Pr] Hardcover Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! [Dallas, TX, U.S.A.] [Publication Year: 2004]
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: Mit Pr] Hardcover Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within 2.05 [Amherst, NY, U.S.A.] [Publication Year: 2004]
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: Mit Pr] Hardcover Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 2.05 [Hawthorne, CA, U.S.A.] [Publication Year: 2004]
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: The MIT Press] Hardcover The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learni ...
MIT Press (MA) 2004 Hard cover Very good. Covers show little or no wear. Pages clean and tight with crisp text. Spine square and tight. Price sticker on outside back cover. Sewn binding. Cloth over boards. 415 p. Contains: Illustrations. Adaptive Computation and Machine Learning. Audience: General/trade.
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: Mit Pr] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2004]
ISBN10: 0262012111, ISBN13: 9780262012119, [publisher: Mit Pr] Hardcover Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 2.05 [Hawthorne, CA, U.S.A.] [Publication Year: 2004]
The MIT Press. hardcover. New. New. In shrink wrap. Looks like an interesting title! The MIT Press ISBN 0262012111 9780262012119 [US]
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