Cargando…
A practical guide to algorithmic bias and explainability in machine learning /
"The concepts of "undesired bias" and "black box models" in machine learning have become a highly discussed topic due to the numerous high profile incidents that have been covered by the media. It's certainly a challenging topic, as it could even be said that the concep...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico Congresos, conferencias Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1176539811 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 200724s2020 xx 041 o vleng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d UMI |d OCLCF |d OCLCO |d OCLCQ | ||
| 035 | |a (OCoLC)1176539811 | ||
| 037 | |a CL0501000126 |b Safari Books Online | ||
| 050 | 4 | |a T57.5 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Saucedo, Alejandro, |e on-screen presenter. | |
| 245 | 1 | 2 | |a A practical guide to algorithmic bias and explainability in machine learning / |c Alejandro Saucedo. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c 2020. | |
| 300 | |a 1 online resource (1 streaming video file (40 min., 48 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from resource description page (viewed July 23, 2020). | ||
| 500 | |a This session is from the 2019 O'Reilly Strata Conference in New York, NY. | ||
| 511 | 0 | |a Presenter, Alejandro Saucedo. | |
| 520 | |a "The concepts of "undesired bias" and "black box models" in machine learning have become a highly discussed topic due to the numerous high profile incidents that have been covered by the media. It's certainly a challenging topic, as it could even be said that the concept of societal bias is inherently biased in itself, depending on an individual's (or group's) perspective. Alejandro Saucedo (The Institute for Ethical AI & Machine Learning) doesn't reinvent the wheel; he simplifies the issue of AI explainability so it can be solved using traditional methods. He covers the high-level definitions of bias in machine learning to remove ambiguity and demystifies it through a hands-on example, in which the objective is to automate the loan-approval process for a company using machine learning, which allows you to go through this challenge step by step and use key tools and techniques from the latest research together with domain expert knowledge at the right points to enable you to explain decisions and mitigate undesired bias in machine learning models."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Electronic data processing |v Congresses. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Data structures (Computer science) |v Congresses. | |
| 650 | 0 | |a Cloud computing |v Congresses. | |
| 650 | 0 | |a Artificial intelligence |v Congresses. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Structures de données (Informatique) |v Congrès. | |
| 650 | 6 | |a Infonuagique |v Congrès. | |
| 650 | 6 | |a Intelligence artificielle |v Congrès. | |
| 650 | 7 | |a Artificial intelligence |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Cloud computing |2 fast |0 (OCoLC)fst01745899 | |
| 650 | 7 | |a Data structures (Computer science) |2 fast |0 (OCoLC)fst00887978 | |
| 650 | 7 | |a Electronic data processing |2 fast |0 (OCoLC)fst00906956 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 655 | 7 | |a Conference papers and proceedings |2 fast |0 (OCoLC)fst01423772 | |
| 711 | 2 | |a O'Reilly Strata Data Conference |d (2019 : |c New York, N.Y.) |j issuing body. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/0636920372370/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||