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- The data science design manual / Steven S. Skiena Cham : Springer, [2017] ©2017 . xvii, 445 stran . ISBN 978-3-319-55443-3 (vázáno) . [1, currently available 1]
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- An elementary introduction to statistical learning theory / Sanjeev Kulkarni, Gilbert Harman . Hoboken : Wiley, 2011 . xiv, 209 s . ISBN 978-0-470-64183-5 (váz.) . [1, currently available 0]
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- Introduction to data science : a Python approach to concepts, techniques and applications / Laura Igual, Santi Seguí ; with contributions from Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido Cham : Springer, [2017] ©2017 . xiv, 218 stran . ISBN 978-3-319-50016-4 (brožováno) . [1, currently available 1]
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- Introduction to pattern recognition : a MATLAB approach / Sergios Theodoridis ... [et al.] . Amsterdam ; Boston : Academic Press, 2010 . x, 219 s . ISBN 978-0-12-374486-9 (brož.) . [1, currently available 1]
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- Natural networks for pattern recognition / Christopher M. Bishop . Oxford : Oxford University Press, c1995 . xvii, 482 s . ISBN 978-0-19-853864-6 . [1, currently available 0]
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- Pattern recognition / Sergios Theodoridis, Konstantionos Koutroumbas . Boston : Academic Press, c2003 . xiv, 689 s . ISBN 0-12-685875-6 . [2, currently available 2]
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- Pattern recognition and machine learning / Christopher M. Bishop New York : Springer, [2006] ©2006 . xx, 738 stran . ISBN 978-0-387-31073-2 (dotisk ; vázáno). ISBN 0-387-31073-8 (vázáno) . [1, currently available 1]
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