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000891413 019__ $$a1104304726$$a1104469220$$a1106164676
000891413 020__ $$a9781484248850$$q(electronic book)
000891413 020__ $$a1484248856$$q(electronic book)
000891413 020__ $$z9781484248843
000891413 0248_ $$a10.1007/978-1-4842-4
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000891413 050_4 $$aQ180.55.S7$$bB34 2019
000891413 08204 $$a001.4/33$$223
000891413 1001_ $$aBaer, Tobias,$$eauthor.
000891413 24510 $$aUnderstand, manage, and prevent algorithmic bias :$$ba guide for business users and data scientists /$$cTobias Baer.
000891413 264_1 $$a[New York, NY] :$$bApress,$$c[2019]
000891413 300__ $$a1 online resource
000891413 336__ $$atext$$btxt$$2rdacontent
000891413 337__ $$acomputer$$bc$$2rdamedia
000891413 338__ $$aonline resource$$bcr$$2rdacarrier
000891413 500__ $$aIncludes index.
000891413 506__ $$aAccess limited to authorized users.
000891413 520__ $$aThe 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.
000891413 588__ $$aDescription based on online resource; title from digital title page (viewed on July 18, 2019).
000891413 650_0 $$aResearch$$xStatistical methods.
000891413 650_0 $$aMachine learning$$xSocial aspects.
000891413 77608 $$iPrint version:$$aBaer, Tobias$$tUnderstand, Manage, and Prevent Algorithmic Bias : A Guide for Business Users and Data Scientists$$dBerkeley, CA : Apress L. P.,c2019$$z9781484248843
000891413 852__ $$bebk
000891413 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-4885-0$$zOnline Access$$91397441.1
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000891413 980__ $$aEBOOK
000891413 980__ $$aBIB
000891413 982__ $$aEbook
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