Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Science Under Uncertainty: Inference, Prediction, and Decision-Making with Python

Data Science Under Uncertainty: Inference, Prediction, and Decision-Making with Python

Unpingco, José

Hardcover

Technology & EngineeringGeneral ComputersProbability & Statistics

PREORDER - Expected ship date April 2, 2027

ISBN10: 3032430135
ISBN13: 9783032430137
Publisher: Springer
Published: Apr 2 2027
Language: English

This book provides a practical introduction to data science as decision-making under uncertainty. It shows how to move beyond point estimates and accuracy scores toward workflows that quantify, evaluate, and communicate uncertainty in real data problems. Readers learn probability as a language for data, simulation-based thinking, regression and predictive modeling, resampling and regularization, probabilistic classification, calibration, prediction intervals, Bayesian modeling, conformal prediction, causal questions, decision analysis, robustness under distribution shift, and responsible communication. With Python-oriented examples and end-to-end case studies, this book helps readers build models whose limitations are explicit and whose predictions can support better decisions.

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