Handbook of big data / 
Edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan 
 - Boca Raton :   CRC Press, Taylor & Francis Group,  c2016. 
 - xvi, 464 p. :  ill. ;   26 cm. 
 - Chapman & Hall/CRC handbooks of modern statistical methods .
 - Chapman & Hall/CRC handbooks of modern statistical methods .
<br/><br/>I. General perspectives on big data --<br/>II. Data-centric, exploratory methods --<br/>III. Efficient algorithms --<br/>IV. Graph approaches --<br/>V. Model fitting and regularization --<br/>VI. Ensemble methods --<br/>VII. Causal inference --<br/>VIII. Targeted learning. 
<br/><br/> "Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice" 
<br/><br/><label>ISBN: </label>9781482249071 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Big data --Statistical methods--Handbooks, manuals, etc.
<br/><br/><label>Dewey Class. No.: </label>005.75 HA ND