Classification in the Wild

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.

 

Author: Gerd Gigerenzer, Konstantinos V. Katsikopoulos, Marcus Buckmann, Ozgur Simsek
Length: 200 pages
Edition: 1
Language: English
Publisher: The MIT Press
Publication Date: 2021-02-02
ISBN-10: 026204515X
ISBN-13: 9780262045155

0 0 投票数
文章评分
订阅评论
提醒
0 评论
内联反馈
查看所有评论
0
希望看到您的想法,请发表评论。x
()
x