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Springer - Uncertainty: The Soul of Modeling & Statistics

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Description

Explore the deep foundations of data science with Uncertainty: The Soul of Modeling, Probability & Statistics. Published by Springer, this book offers a unique philosophical approach to probabilistic thinking and reasoning. It is designed specifically for working scientists who want to understand the core principles that drive modern statistical modeling. Rather than following standard conventions, this work challenges existing tenets to build a stronger philosophical and probabilistic infrastructure for your research. It serves as the first book dedicated to the philosophy of data, providing a necessary perspective for those working in mathematics and science. By examining the underpinnings of modeling, this text helps readers move beyond the "Cult of Statistics" and toward a more profound understanding of how probability functions in real-world applications. Whether you are a mathematician or a data scientist, this book provides the groundwork needed to refine your practice and improve your approach to modeling uncertainty.

Key Features

Provides a philosophical approach to probability and probabilistic thinking for working scientists.

Examines the fundamental underpinnings of probabilistic reasoning and modeling used in data science.

Challenges standard tenets to establish a new philosophical and probabilistic infrastructure.

Acts as the first book devoted to the philosophy of data for professional researchers.

Offers a new way to consider the practice of probability and statistics in scientific work.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 July 2016
Listed Since
03 May 2016

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