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Books > Computing & IT > Computer programming
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Beautiful Data (Paperback)
Loot Price: R1,185
Discovery Miles 11 850
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Beautiful Data (Paperback)
Expected to ship within 18 - 22 working days
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In this insightful book, you'll learn from the best data
practitioners in the field just how wide-ranging - and beautiful -
working with data can be. Join 39 contributors as they explain how
they developed simple and elegant solutions on projects ranging
from the Mars lander to a Radiohead video. With "Beautiful Data",
you will: explore the opportunities and challenges involved in
working with the vast number of datasets made available by the Web;
learn how to visualize trends in urban crime, using maps and data
mashups; discover the challenges of designing a data processing
system that works within the constraints of space travel; also
learn how crowdsourcing and transparency have combined to advance
the state of drug research; and, understand how new data can
automatically trigger alerts when it matches or overlaps
pre-existing data. Learn about the massive infrastructure required
to create, capture, and process DNA data. That's only small sample
of what you'll find in "Beautiful Data". For anyone who handles
data, this is a truly fascinating book. Contributors include:
Nathan Yau; Jonathan Follett and Matt Holm; J.M. Hughes; Raghu
Ramakrishnan, Brian Cooper, and Utkarsh Srivastava; Jeff
Hammerbacher; Jason Dykes and Jo Wood; Jeff Jonas and Lisa Sokol;
Jud Valeski; Alon Halevy and Jayant Madhavan; Aaron Koblin and
Valdean Klump; Michal Migurski; Jeff Heer; Coco Krumme; Peter
Norvig; Matt Wood and Ben Blackburne; Jean-Claude Bradley, Rajarshi
Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony
Williams, and Egon Willighagen; Lukas Biewald and Brendan O'Connor;
Hadley Wickham, Deborah Swayne, and David Poole; Andrew Gelman,
Jonathan P. Kastellec, and Yair Ghitza; and, Toby Segaran.
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