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Machine Learning in Medicine: Part Three
Cleophas, Ton J., Zwinderman, Aeilko H.
€ 67.39
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Description for Machine Learning in Medicine: Part Three
Hardcover. Machine Learning in Medicine Num Pages: 224 pages, 41 black & white illustrations, 78 black & white tables, biography. BIC Classification: MBGR; PBT; UYQV. Category: (P) Professional & Vocational. Dimension: 239 x 159 x 18. Weight in Grams: 506.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2013
Publisher
Springer
Condition
New
Number of Pages
224
Place of Publication
Dordrecht, Netherlands
ISBN
9789400778689
SKU
V9789400778689
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Machine Learning in Medicine: Part Three
From the reviews: “This book is excellent. It is valuable source of a basic understanding of novel machine learning methods of clinical data analysis and can be used as a reference by students and teachers of epidemiology, statistics and biostatistics, computer and social scientists, and clinical investigators.” (Vedang J. Bhavsar, Doody’s Book Reviews, March, 2014)