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multiple regression

Business & Economics Book Reviews Urban Planning Data & Analytics 

Book Review: Leading with AI and Analytics

January 5, 2021January 2, 2021 Nat M. Zorach 0 Comments AI, AI & analytics, AIA, analytics, artificial intelligence, b-school, business analytics, business intelligence, Business School, Data Science, Data Science IQ, data scientist, decision tree, decision trees, DSIQ, eric anderson, florian zettelmeyer, gradient boosting, kellogg, kellogg school, kellogg school of management, machine learning, management theory, MBA, multiple regression, neural network, northwestern, northwestern university, OLAP, OLTP, predictive analytics, qualitative, quantitative, R, random forest, regression, SQL, statistics, XGBoost, zettelmeyer

Nat reviews a new book, Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value, by Eric Anderson and Florian Zettelmeyer of Northwestern University’s Kellogg School.

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