This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and ...
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This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields - probability, physics, biology, the "soft" sciences, computer science - because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.
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Add this copy of Uncertainty: the Soul of Modeling, Probability & to cart. $33.14, good condition, Sold by Goodbooks rated 5.0 out of 5 stars, ships from Tontitown, AR, UNITED STATES, published 2016 by Springer.
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Fair. The book is complete and readable with all pages and cover intact. Dust jacket shrink wrap or boxed set case may be missing. Pages may have light notes highlighting or minor water exposure but nothing that affects readability. May be an ex-library copy and could include library markings or stickers.
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Like New. Page block firm and clean, binding unblemished, boards straight, without markings of any kind. Fine, like new condition. Extremely fine. Without any discs, access codes or extra items. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.