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EUR 5,25
Da: Regno Unito a: U.S.A.
Descrizione libro hardback. Condizione: New. Language: ENG. Codice articolo 9780521887939
Descrizione libro HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FM-9780521887939
Descrizione libro Condizione: new. Codice articolo c5ed9e6f23cba3660a72e0f6d46ad7f7
Descrizione libro Hardcover. Condizione: Brand New. 504 pages. 10.50x7.50x1.00 inches. In Stock. Codice articolo __0521887933
Descrizione libro HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FM-9780521887939
Descrizione libro Hardcover. Condizione: new. Hardcover. 'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduate students in statistics and researchers in data-rich disciplines. 'Big data' poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master's/graduate students in statistics and working scientists in data-rich disciplines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521887939
Descrizione libro Gebunden. Condizione: New. Big data poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATL. Codice articolo 151161518
Descrizione libro Condizione: New. Book is in NEW condition. Codice articolo 0521887933-2-1
Descrizione libro Condizione: New. This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 526 pages, 5 b/w illus. 98 colour illus. 76 tables 138 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 260 x 180 x 29. Weight in Grams: 1282. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Codice articolo V9780521887939
Descrizione libro Condizione: New. This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 526 pages, 5 b/w illus. 98 colour illus. 76 tables 138 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 260 x 180 x 29. Weight in Grams: 1282. . 2013. 1st Edition. Hardcover. . . . . Codice articolo V9780521887939