Limit search to available items
Book Cover
E-book
Author Baer, Tobias, author.

Title AI no shinrigaku : arugorizumikku baiasu to no tatakaikata o tōshite manabu, bijinesu pāson to enjinia no tame no kikai gakushū nyūmon / Tobias Baer cho ; Musha Hiroyuki, Musha Rumi yaku = Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists / Tobias Baer
AIの心理学 : アルゴリズミックバイアスとの闘い方を通して学ぶ, ビジネスパーソンとエンジニアのための機械学習入門 / Tobias Baer著 ; 武舎広幸, 武舎るみ訳 = Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists / Tobias Baer
Edition Shohan
初版
Published Tōkyō-to Shinjuku-ku : Orairī Japan, 2021
東京都新宿区 : オライリー・ジャパン, 2021

Copies

Description 1 online resource (344 pages)
Summary The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors--and originates in--these human tendencies. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. Youll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the larger sociological impact of bias in the digital era
Notes In Japanese
Subject Computer algorithms -- Psychological aspects
Machine learning.
Machine learning.
Form Electronic book
Author Musha, Hiroyuki, translator
武舎広幸, translator
Musha, Rumi, translator
武舎るみ, translator
ISBN 9784873119625
4873119626
Other Titles Understand, manage, and prevent algorithmic bias. Japanese
Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists