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" Doing data science / "
Cathy O'Neil and Rachel Schutt.
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BL
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| Record Number
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590117
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| Doc. No
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GBB362256b419336
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| Main Entry
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O'Neil, Cathy
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| Title & Author
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Doing data science /\ Cathy O'Neil and Rachel Schutt.
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| Edition Statement
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First edition.
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| Page. NO
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xxiv, 377 pages :: illustrations (colour) ;; 23 cm.
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| ISBN
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9781449358655 (pbk.)
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: 1449358659 (pbk.)
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| Notes
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2013-10-08: first release ; 2013-12-13: second release ; 2014-10-10: third release.
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Includes index.
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| Contents
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Introduction : What is data science? -- Statistical inference, exploratory data analysis, and the data science process -- Algorithms -- Spam filters, naive bayes, and wrangling -- Logistic regression -- Time stamps and financial modeling -- Extracting meaning from data -- Recommendation engines : building a user-facing data product at scale -- Data visualization and fraud detection -- Social networks and data journalism -- Causality -- Epidemiology -- Lessons learned from data competitions : data leakage and model evaluation -- Data engineering : MapReduce, Pregel, and Hadoop -- The students speak -- Next-generation data scientists, hubris, and ethics.
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| Abstract
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A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering.
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| Subject
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Data mining.
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Big data.
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Information science.
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Data structures (Computer science)
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Database management.
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Cyberinfrastructure.
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| Dewey Classification
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006.31
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| Added Entry
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Schutt, Rachel,1976-
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| Parallel Title
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Straight talk from the frontline
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