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AI no shinrigaku : arugorizumikku baiasu to no tatakaikata o tōshite manabu, bijinesu pāson to enjinia no tame no kikai gakushū nyūmon /
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 /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Japonés Inglés |
| Publicado: |
Tōkyō-to Shinjuku-ku :
Orairī Japan,
2021.
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| Edición: | Shohan. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a22000007i 4500 | ||
|---|---|---|---|
| 001 | OR_on1356973594 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 230106s2021 ja o 000 0 jpn d | ||
| 040 | |a ORMDA |b eng |e rda |e pn |c ORMDA |d UPM |d STF |d UAB |d OCLCF | ||
| 066 | |c Hani |c $1 | ||
| 020 | |a 9784873119625 |q (electronic bk.) | ||
| 020 | |a 4873119626 |q (electronic bk.) | ||
| 029 | 1 | |a AU@ |b 000073289684 | |
| 035 | |a (OCoLC)1356973594 | ||
| 037 | |a 9784873119625 |b O'Reilly Media | ||
| 041 | 1 | |a jpn |h eng | |
| 050 | 4 | |a QA76.9.A43 | |
| 082 | 0 | 4 | |a 006.31 |2 23/eng/20230106 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Baer, Tobias, |e author. | |
| 240 | 1 | 0 | |a Understand, manage, and prevent algorithmic bias. |l Japanese |
| 245 | 1 | 0 | |6 880-01 |a AI no shinrigaku : |b arugorizumikku baiasu to no tatakaikata o tōshite manabu, bijinesu pāson to enjinia no tame no kikai gakushū nyūmon / |c Tobias Baer cho ; Musha Hiroyuki, Musha Rumi yaku = Understand, manage, and prevent algorithmic bias : a guide for business users and data scientists / Tobias Baer. |
| 246 | 3 | 1 | |a Understand, manage, and prevent algorithmic bias : |b a guide for business users and data scientists |
| 250 | |6 880-02 |a Shohan. | ||
| 264 | 1 | |6 880-03 |a Tōkyō-to Shinjuku-ku : |b Orairī Japan, |c 2021. | |
| 300 | |a 1 online resource (344 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 546 | |a In Japanese. | ||
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Computer algorithms |x Psychological aspects. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 700 | 1 | |6 880-04 |a Musha, Hiroyuki, |e translator. | |
| 700 | 1 | |6 880-05 |a Musha, Rumi, |e translator. | |
| 765 | 0 | 8 | |i Translation of: |a Baer, Tobias. |t Understand, manage, and prevent algorithmic bias. |d [New York, NY] : Apress, [2019] |z 1484248848 |w (OCoLC)1091846682 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9784873119625/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 880 | 1 | 0 | |6 245-01/$1 |a AIの心理学 : |b 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 / |c 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. |
| 880 | |6 250-02/$1 |a 初版. | ||
| 880 | 1 | |6 264-03/$1 |a 東京都新宿区 : |b オライリー・ジャパン, |c 2021. | |
| 880 | |6 520-00/$1 |a "ディープラーニング人気の急上昇とともに注目されるようになった「アルゴリズミックバイアス」の解説書。アルゴリズミックバイアスとは、コンピュータによる偏った決定のことです。ネットショップでまるで的はずれなお勧めをされるとか、こちらには非がないにもかかわらずアカウントを凍結されるなどは、バイアスの悪影響の典型例と言えるでしょう。コンピュータ（AI）が下す決定には検出しづらいさまざまな「バイアス（偏り）」が存在します。本書では、バイアスがどのように発生するかを知り、バイアスとの闘い方を通して機械学習全般について学び、システムにバイアスが混入しないように予防、管理する方法を明らかにします。" -- |c Provided by publisher. | ||
| 880 | 1 | |6 700-04/$1 |a 武舎広幸, |e translator. | |
| 880 | 1 | |6 700-05/$1 |a 武舎るみ, |e translator. | |
| 994 | |a 92 |b IZTAP | ||