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Data Science
Data Science seeks to draw useful information from large data sets, be they numerical, textual, or visual. It is an amalgam of statistical and machine learning, of data mining and data visualization techniques.
The Harvard Business Review asserts that data scientist will be the . McKinsey & Company predict a .
Applications of data science include...
- helping Netflix, Amazon and Facebook to make the recommendations they do;
- improving the flexibility of the gps system in your auto;
- ;
- ;
- refining investment bankers' rates of return in the stock market;
- increasing the survival rates of supremely premature babies.
Curious? Here are a few excellent resources.
- , by Mayer-Schönberger and Cukier.
- , by Jeffrey Stanton & Robert De Graaf. A free ebook for a free introductory course at Syracuse University.
- , by John Foreman. Data science in business.
- , edited by Jonathan Gray, Liliana Bounegru, and Lucy Chambers. Big Data in Journalism.