Classification in the Wild
Konstantinos V. Katsikopoulos & Özgür Şimşek & Marcus Buckmann & Gerd Gigerenzer [Katsikopoulos, Konstantinos & Şimşek, Özgür & Buckmann, Marcus & Gigerenzer, Gerd]
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.
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.
خپرندویه اداره:
MIT Press
ژبه:
english
ISBN 10:
026204515X
ISBN 13:
9780262045155
فایل:
PDF, 3.16 MB
IPFS:
,
english0
Amazon 
Barnes & Noble 
Bookshop.org
غواړئ کتاب پلورنځي ته اضافه وکړئ؟ مونږ سره د support@z-lib.do له لارې اړیکه ونیسئ
File converter
د لټون نورې نبیجې
More benefits 
مهمي جملي
د کتابونو مرتبط لیسټونه
