01965cam a22004098i 4500 22395669 CSPC 20260720140808.0 220125s2023 nyu 000 0 eng 2021058431 9781266108334 (papercover) 22395669 DLC eng rda DLC CSPC pcc HD30.23 .T3245 2023 658.403 T12m 23/eng/20220125 Taddy, Matt, author. Modern business analytics : practical data science for decision-making / Matt Taddy, Leslie Hendrix, and Matthew Harding. 2202 New York, NY : McGraw Hill LLC, 2023. xxii, 442 pages ; 25 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes index. Regression -- Uncertainty quantification -- Regularization and selection -- Classification -- Causal inference with experiments -- Casual inference with controls -- Trees and forests -- Factor models -- Text as data -- Deep learning. "The practice of data analytics is changing and modernizing. Innovations in computation and machine learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate modeling"-- Provided by publisher. Ages 18+ McGraw Hill Education. Decision making Econometric models. Machine learning. Hendrix, Leslie, author. Harding, Matthew C., author. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 23 658.403 T12m CIR 2023 0 0 0 ddc 0 0 CSPC CSPC GRD 2026-07-22 0 GRD 658.403 T12m 2023 032035 2026-07-20 14:08:40 1-1 2026-07-22 BK 32679 32679