ENGLISH

Doing data science

By Rachel , O'Neil , Cathy;Schutt

Book information

Publisher
O'Reilly Media
Year
2014
ISBN
9781449358655, 1449358659, 9781449363895, 144936389X
Language
english
Format
PDF
Filesize
27 MB (28403093 bytes)
Edition
First edition
Pages
xxiv, 375 pages : illustrations (some colour) ; 23
Time added
2020-07-26 19:24:52
Big data;Cyberinfrastructure;Data mining;Data stru

Description

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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