Data Science for Business : What You Need to Know About Data Mining and Data-Analytic Thinking
(Autor) Foster ProvostIntroduces fundamental concepts of data science necessary for extracting useful information from data mining techniques, including envisioning the problem, applying data science techniques, and deploying results to improve decision making.
Foster Provost
Foster Provost is a renowned computer scientist and data scientist known for his work in machine learning and data mining. He is a professor at the NYU Stern School of Business and a founding co-director of the NYU Center for Data Science. Provost is widely recognized for his research on predictive modeling and has made significant contributions to the field of data science.
Provost co-authored the influential book "Data Science for Business" with Tom Fawcett, which has become a staple in the field of data science and is used by practitioners and students alike. His work has had a profound impact on the application of data science in business and has helped shape the way organizations use data to make informed decisions.
Overall, Foster Provost's work has greatly influenced the field of data science and his contributions continue to be highly regarded in academia and industry.