Ebook: Doing data science
Author: O'Neil Cathy, Schutt Rachel
- Tags: Big data, Cyberinfrastructure, Data mining, Data structures (Computer science), Database management, Information science
- Year: 2014
- Publisher: O'Reilly Media
- City: Sebastopol;CA
- Edition: First edition
- Language: English
- pdf
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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