000			02649nam a22002897a 4500
999			_c51441 _d52988
003			ISURa
008			190617b xxu||||| |||| 00| 0 eng d
020			_a9781138044852
041			_aEnglish
082			_a006.31 _bSTA
100			_a Summa, Mireille Gettler _eed _972539
245			_aStatistical learning and data science
260			_aNewYork _bCRC Press _c2017
300			_aXv, 227 p. _bsome col. _c24 cm.
440			_aSeries in computer science and data analysis Serics _972540
500			_aI. Statistical and machine learning -- II. Data science, foundations, and applications -- III. Complex data.
520			_aData analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit. Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data. Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments"--Provided by publisher.
650			_aBUSINESS AND ECONOMICS -- Statistics. _972541
650			_aMachine learning -- Statistical methods. _972542
650			_aData mining _929634
700			_aBottou, Leon _972543
700			_aGoldfarb, Bernard _972544
700			_aMurtagh, Fionn _972310
700			_aPardoux, Catherine _972545
700			_aTouati, Myriam _972546
942			_2ddc _cLN