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.
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Konstantinos Katsikopoulos is Associate Professor (Reader) of Behavioural Operations at the Southampton Business School, where he is also Head of Research in the Department of Decision Analytics and Risk. Ozgur Simsek is Senior Lecturer in Machine Learning in the Department of Computer Science at the University of Bath, where he is also Deputy Director of the Institute for Mathematical Innovation. Marcus Buckmann is Senior Data Research Analyst at the Advanced Analytics Division of the Bank of England. Gerd Gigerenzer is Director of the Harding Center for Risk Literacy at the Max Planck Institute for Human Development in Berlin and Partner in Simply Rational--The Institute for Decisions.
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Hardback. Condición: Good. 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. Nº de ref. del artículo: 00110005800
Cantidad disponible: 10 disponibles
Librería: Scissortail, Oklahoma City, OK, Estados Unidos de America
Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Nº de ref. del artículo: STM.266
Cantidad disponible: 1 disponibles
Librería: Scissortail, Oklahoma City, OK, Estados Unidos de America
Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Nº de ref. del artículo: STM.LPH
Cantidad disponible: 1 disponibles
Librería: Scissortail, Oklahoma City, OK, Estados Unidos de America
Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Nº de ref. del artículo: STM.LOJ
Cantidad disponible: 1 disponibles
Librería: Scissortail, Oklahoma City, OK, Estados Unidos de America
Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Nº de ref. del artículo: STM.LSU
Cantidad disponible: 1 disponibles
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Hardback. Condición: Good. 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. Nº de ref. del artículo: CIN026204515XG
Cantidad disponible: 10 disponibles
Librería: Montana Book Company, Fond du Lac, WI, Estados Unidos de America
Hardcover. Condición: Very Good. First Edition. 197 pp. Tightly bound. Corners not bumped. Text is free of markings. No ownership markings. Printed boards. Published without a dust jacket. Remainder mark bottom fore-edge. First Edition / First Printing. 10,9,8,7,6,5,4,3,2,1. Nº de ref. del artículo: 082776
Cantidad disponible: 1 disponibles
Librería: GoldBooks, Denver, CO, Estados Unidos de America
Hardcover. Condición: new. New Copy. Customer Service Guaranteed. Nº de ref. del artículo: 59S75_54_026204515X
Cantidad disponible: 1 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 200 pages. 9.25x6.00x0.75 inches. In Stock. Nº de ref. del artículo: 026204515X
Cantidad disponible: 1 disponibles
Librería: Rarewaves.com UK, London, Reino Unido
Hardback. Condición: New. Nº de ref. del artículo: LU-9780262045155
Cantidad disponible: Más de 20 disponibles