00000cam a22000003i 4500 UP-1685594773862196860 Buklod 20240214170247.0 g||| | || || ta 200814s2018 xx a rb |||1 u|eng d 9781786345394 (hbk. : alk. paper) (iLib)UPBAG-00037630753 BC-71721 Forefront Book Co., Inc. Php7,304.00 Department of Mathematics and Computer Science faculty OLC BAG rda eng QA 76.9 D343 S73 2018 Statistical data science editors, Niall Adams, Edward Cohen. Covent Garden, London World Scientific Publishing Europe Ltd. [2018] x, 182 pages illustrations (some color) 24 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references and index. 1. Does data science need statistics? / William Oxbury -- 2. Principled statistical inference in data science / Todd A. Kuffner and G. Alastair Young -- 3. Evaluating statistical and machine learning supervised classification methods / David J. Hand -- 4. Diversity as a response to user preference uncertainty / James Edwards and David Leslie -- 5. L-kernel density estimation for Bayesian model selection / Mark Briers -- 6. Bayesian numerical methods as a case study for statistical data science / Francois-Xavier Briol and Mark Girolami -- 7. Phylogenetic Gaussian processes for bat echolocation / J.P. Meagher T. Damoulas, K.E. Jones and M. Girolami -- 8. Reconstruction of three-dimensional porous media: statistical or deep learning approach? / Lukas Mosser, Thomas Le Blevec and Olivier Dubrule -- 9. Using data-driven uncertainty quantification to support decision making / Charlie Vollmer, Matt Peterson, David J. Stracuzzi and Maximillian G. Chen -- 10. Blending data science and statistics across government / Owen Abbott, Philip Lee, Mathew Upson, Matthew Gregory and Dawn Duhaney -- 11. Dynamic factor modelling with spatially multi-scale structures for spatio-temporal data / Takamitsu Araki and Shotaro Akaho. As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis. Featuring chapters from established authors in both disciplines, the book also presents a number of applications and accompanying papers--Provided by Publisher. Data mining. Mathematical statistics. Adams, Niall M. editor. Cohen, Edward editor. FO UPBAG UPBAG-MAIN QA 76.9 D343 S73 2018 Book