New book by Big Data authors
Foster Provost and Tom Fawcett!

Data Science for Business

Data Science for BusinessThe new book Data Science for Business, by Big Data authors, Foster Provost and Tom Fawcett, is intended for (i) those who need to understand data science/data mining broadly and (ii) those who want to develop their skill at data-analytic thinking. It is not a book about algorithms. Instead it presents a set of fundamental principles for getting business value by extracting useful knowledge from data. These fundamental principles are the foundation for many data mining techniques, but they also are the basis for frameworks for approaching business problems data-analytically, evaluating data science solutions, and evaluating general plans for data analytics. Learn more about this publication.

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About the Authors

Foster Provost is a Professor and NEC Faculty Fellow at the NYU Stern School of Business, where he has taught data science to MBAs for 15 years. Tom Fawcett has a PhD in machine learning from UMass-Amherst and has worked in industrial research (GTE Laboratories, NYNEX/Verizon Labs, HP Labs, etc.). Foster and Tom are authors of the Big Data article, “Data Science and its Relationship to Big Data and Data-Driven Decision Making.”

Big Data

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Big Data

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