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Now Browsing: Computer Science Textbooks > Algorithms

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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

Published: July 2017
Author(s): Michael Mitzenmacher, Eli Upfal
ISBN 13: 9781107154889
ISBN 10: 110715488X
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Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

Published: October 2020
Author(s): John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
ISBN 13: 9780262044691
ISBN 10: 0262044692
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Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions

Published: September 2009
Author(s): Michael Milton
ISBN 13: 9780596153939
ISBN 10: 0596153937
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Algorithms for Optimization (Mit Press)

Published: March 2019
Author(s): Mykel J. Kochenderfer, Tim A. Wheeler
ISBN 13: 9780262039420
ISBN 10: 0262039427
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Real-Time Collision Detection (The Morgan Kaufmann Series in Interactive 3-D Technology)

Published: December 2004
Author(s): Christer Ericson
ISBN 13: 9781558607323
ISBN 10: 1558607323
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The Little Learner: A Straight Line to Deep Learning

Published: February 2023
Author(s): Daniel P. Friedman, Anurag Mendhekar, Qingqing Su, Guy L. Steele Jr., Peter Norvig
ISBN 13: 9780262546379
ISBN 10: 026254637X
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Quantum Algorithms and Applications: A Scaffolding Approach (Vol 2) (The Scaffolding Series)

Published: March 2026
Author(s): Dr. Peter Lee, Dr. Ran Cheng, Dr. Huiwen Ji
ISBN 13: 9781961880139
ISBN 10: 196188013X
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Planning Algorithms

Published: May 2006
Author(s): Steven M. LaValle
ISBN 13: 9780521862059
ISBN 10: 0521862051
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Elements of Programming Interviews in Java: The Insiders' Guide

Published: October 2015
Author(s): Adnan Aziz, Tsung-Hsien Lee, Amit Prakash
ISBN 13: 9781517671273
ISBN 10: 1517671272
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Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science)

Published: May 2020
Author(s): Antti Laaksonen
ISBN 13: 9783030393564
ISBN 10: 3030393569
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