Machine Learning in Medicine Part Three
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- Hardcover
- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
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Auflage:Softcover reprint of the original 1st ed. 2013
48,99 €
inkl. gesetzl. MwSt.,
Lieferung nach Hause
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
30.04.2017
Abbildungen
XIX, 41 illus., schwarz-weiss Illustrationen
Verlag
Springer NetherlandSeitenzahl
224
Maße (L/B/H)
23,5/15,5/1,4 cm
Gewicht
377 g
Auflage
Softcover reprint of the original 1st ed. 2013
Sprache
Englisch
ISBN
978-94-024-0260-5
Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis. This third volume addresses more advanced methods and includes subjects like evolutionary programming, stochastic methods, complex sampling, optional binning, Newton's methods, decision trees, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of non-mathematical readers. Each chapter can be studied without the need to consult other chapters. Traditional statistical tests are, sometimes, priors to machine learning methods, and they are also, sometimes, used as contrast tests. To those wishing to obtain more knowledge of them, we recommend to additionally study (1) Statistics Applied to Clinical Studies 5th Edition 2012, (2) SPSS for Starters Part One and Two 2012, and (3) Statistical Analysis of Clinical Data on a Pocket Calculator Part One and Two 2012, written by the same authors, and edited by Springer, New York.
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