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...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
O'Reilly Media, Inc.
2020
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| Ausgabe: | 1st edition. |
| Links: | https://learning.oreilly.com/library/view/-/9781492045991/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Online resource; Title from title page (viewed June 25, 2020) |
| Umfang: | 1 Online-Ressource (62 Seiten) |
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| spelling | Emam, Khaled VerfasserIn aut Accelerating AI with Synthetic Data Emam, Khaled 1st edition. [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2020 1 Online-Ressource (62 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title page (viewed June 25, 2020) 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. Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Emam, Khaled Accelerating AI with Synthetic Data |
| title | Accelerating AI with Synthetic Data |
| title_auth | Accelerating AI with Synthetic Data |
| title_exact_search | Accelerating AI with Synthetic Data |
| title_full | Accelerating AI with Synthetic Data Emam, Khaled |
| title_fullStr | Accelerating AI with Synthetic Data Emam, Khaled |
| title_full_unstemmed | Accelerating AI with Synthetic Data Emam, Khaled |
| title_short | Accelerating AI with Synthetic Data |
| title_sort | accelerating ai with synthetic data |
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