Cargando…
Accelerating AI with Synthetic Data /
Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that...
| Autor principal: | |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media, Inc.,
2020.
|
| Edición: | 1st edition. |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a22000007a 4500 | ||
|---|---|---|---|
| 001 | OR_on1162606643 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||||||| | ||
| 008 | 030620s2020 xx o 000 0 eng | ||
| 040 | |a AU@ |b eng |c AU@ |d OCLCQ |d TOH |d OCLCQ | ||
| 020 | |z 9781492045984 | ||
| 024 | 8 | |a 9781492045991 | |
| 029 | 0 | |a AU@ |b 000067300386 | |
| 035 | |a (OCoLC)1162606643 | ||
| 049 | |a UAMI | ||
| 100 | 1 | |a Emam, Khaled, |e author. | |
| 245 | 1 | 0 | |a Accelerating AI with Synthetic Data / |c Emam, Khaled. |
| 250 | |a 1st edition. | ||
| 264 | 1 | |b O'Reilly Media, Inc., |c 2020. | |
| 300 | |a 1 online resource (62 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 520 | |a Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that not only focuses on business value and use cases but also provides some practical techniques for using synthetic data. Author Khaled El Emam, cofounder and Director of Replica Analytics and Professor at the University of Ottawa, helps data analytics leadership understand the options so they can get started building their own training sets. With the help of several industry use cases, you'll learn how synthetic data can accelerate machine learning projects in your company. As advances in synthetic data generation continue, broad adoption of this approach will quickly follow. Learn what synthetic data is and how it can accelerate machine learning model development Understand how synthetic data is generated-and why these datasets are similar to real data Explore the process and best practices for generating synthetic datasets Examine case studies of synthetic data use in industries including manufacturing, healthcare, financial services, and transportation Learn key requirements for future work and improvements to synthetic data. | ||
| 542 | |f Copyright © 2020 O'Reilly Media, Inc. | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
| 588 | |a Online resource; Title from title page (viewed June 25, 2020) | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 710 | 2 | |a Safari, an O'Reilly Media Company. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781492045991/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 936 | |a BATCHLOAD | ||
| 994 | |a 92 |b IZTAP | ||