| Classification in the Wild: The Science and Art of Transparent Decision Making Contributor(s): Katsikopoulos, Konstantinos V. (Author), Simsek, Ozgur (Author), Buckmann, Marcus (Author) |
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ISBN: 026204515X ISBN-13: 9780262045155 Publisher: MIT Press OUR PRICE: $34.65 Product Type: Hardcover - Other Formats Published: February 2021 |
| Additional Information |
| BISAC Categories: - Language Arts & Disciplines | Library & Information Science - Cataloging & Classification - Computers | Intelligence (ai) & Semantics - Business & Economics | Decision Making & Problem Solving |
| Dewey: 001.012 |
| LCCN: 2020015193 |
| Physical Information: 0.7" H x 6.1" W x 9.1" (1.10 lbs) 200 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--in the wild, in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning. |