Difference between revisions of "Google AutoML"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=Google+AutoML+Tables YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Google+AutoML+Tables ...Google search] |
| − | * [ | + | * [https://cloud.google.com/natural-language/#overview Natural Language | Google] |
| − | ** [ | + | ** [https://cloud.google.com/natural-language/overview/docs/get-started Documentation] |
| − | ** [ | + | ** [https://cloud.google.com/natural-language/automl/docs/quickstart Quickstart] |
| − | * [ | + | * [https://cloud.google.com/automl/ Google Cloud] |
* [[Google]] | * [[Google]] | ||
* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | ||
* [[Neural Architecture]] | * [[Neural Architecture]] | ||
** [[Neural Architecture#Neural Architecture Search (NAS) |Neural Architecture Search (NAS)]] | ** [[Neural Architecture#Neural Architecture Search (NAS) |Neural Architecture Search (NAS)]] | ||
| − | * [ | + | * [https://www.infoq.com/news/2019/12/google-cloud-automl/ Google Cloud Team Releases AutoML Natural Language | Srini Penchikala - InfoQ] |
| − | suite of machine learning products which enables developers with limited machine learning expertise to train high-quality models specific to their business needs. This platform is built on machine learning algorithms such as transfer learning and neural architecture search technology. The AutoML products include AutoML Vision which derives insights from images, AutoML Natural Language which helps in gaining insights from text, AutoML Translation which detects and translate between different languages. [ | + | suite of machine learning products which enables developers with limited machine learning expertise to train high-quality models specific to their business needs. This platform is built on machine learning algorithms such as transfer learning and neural architecture search technology. The AutoML products include AutoML Vision which derives insights from images, AutoML Natural Language which helps in gaining insights from text, AutoML Translation which detects and translate between different languages. [https://www.analyticsindiamag.com/7-machine-learning-tools-for-non-data-scientists/ 7 Machine Learning Tools For Non-Data Scientists | Ambika Choudhury] |
| − | The product is [ | + | The product is [https://www.fedramp.gov/ FedRAMP]-authorized at the Moderate level, making it easier for federal agencies to benefit from [https://ai.google/ Google AI] technology. |
== Custom == | == Custom == | ||
| − | * [ | + | * [https://www.g2.com/products/google-cloud-automl/pricing Pricing] |
<youtube>OHIEZ-Scek8</youtube> | <youtube>OHIEZ-Scek8</youtube> | ||
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== Tables - Structured Data == | == Tables - Structured Data == | ||
| − | * [ | + | * [https://cloud.google.com/automl-tables/ Google AutoML Tables] automates feature engineering on a wide range of tabular data primitives — such as numbers, classes, strings, timestamps, and lists — and also helps you detect and take care of missing values, outliers, and other common data issues. |
| − | * [ | + | * [https://cloud.google.com/automl-tables/pricing Pricing] |
<youtube>yPVc797kMyM</youtube> | <youtube>yPVc797kMyM</youtube> | ||
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== Natural Language == | == Natural Language == | ||
| − | * [ | + | * [https://cloud.google.com/natural-language/automl/docs/ Google Cloud AutoML Natural Language] enables you to create custom machine learning models to classify English-language content into a custom set of categories. |
| − | * [ | + | * [https://cloud.google.com/natural-language/automl/pricing Pricing] |
<youtube>-zteIdpQ5UE</youtube> | <youtube>-zteIdpQ5UE</youtube> | ||
| Line 47: | Line 47: | ||
== Translation == | == Translation == | ||
| − | * [ | + | * [https://cloud.google.com/translate/automl/docs/ AutoML Translation] lets you to create your own, custom translation models so that translation queries return results specific to your domain. |
| − | * [ | + | * [https://cloud.google.com/translate/automl/pricing Pricing] |
<youtube>EN5vbk1bJgs</youtube> | <youtube>EN5vbk1bJgs</youtube> | ||
| Line 54: | Line 54: | ||
== Vision == | == Vision == | ||
| − | * [ | + | * [https://cloud.google.com/vision/automl/docs/ AutoML Vision] enables you to train machine learning models to classify your images according to your own defined labels. |
| − | * [ | + | * [https://gist.github.com/yufengg/984ed8c02d95ce7e95e1c39da906ee04 Notebook for preparing a CSV for Google Cloud AutoML Vision] |
| − | * [ | + | * [https://cloud.google.com/vision/automl/pricing Pricing] |
<youtube>kgxfdTh9lz0</youtube> | <youtube>kgxfdTh9lz0</youtube> | ||
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== <span id="Video Intelligence"></span>Video Intelligence == | == <span id="Video Intelligence"></span>Video Intelligence == | ||
| − | * [ | + | * [https://cloud.google.com/video-intelligence/automl/docs/ AutoML Video Intelligence] enables you to train machine learning models to classify shots and segments in your [[Video|video]]s according to your own defined labels. |
| − | * [ | + | * [https://cloud.google.com/video-intelligence/automl/pricing Pricing] |
<youtube>mDAoLO4G4CQ</youtube> | <youtube>mDAoLO4G4CQ</youtube> | ||
<youtube>y-k8oelbmGc</youtube> | <youtube>y-k8oelbmGc</youtube> | ||
Revision as of 15:07, 28 March 2023
YouTube search... ...Google search
- Natural Language | Google
- Google Cloud
- Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)
- Neural Architecture
- Google Cloud Team Releases AutoML Natural Language | Srini Penchikala - InfoQ
suite of machine learning products which enables developers with limited machine learning expertise to train high-quality models specific to their business needs. This platform is built on machine learning algorithms such as transfer learning and neural architecture search technology. The AutoML products include AutoML Vision which derives insights from images, AutoML Natural Language which helps in gaining insights from text, AutoML Translation which detects and translate between different languages. 7 Machine Learning Tools For Non-Data Scientists | Ambika Choudhury
The product is FedRAMP-authorized at the Moderate level, making it easier for federal agencies to benefit from Google AI technology.
Contents
Custom
Automatically build and deploy state-of-the-art machine learning models for...
Tables - Structured Data
- Google AutoML Tables automates feature engineering on a wide range of tabular data primitives — such as numbers, classes, strings, timestamps, and lists — and also helps you detect and take care of missing values, outliers, and other common data issues.
- Pricing
Natural Language
- Google Cloud AutoML Natural Language enables you to create custom machine learning models to classify English-language content into a custom set of categories.
- Pricing
Translation
- AutoML Translation lets you to create your own, custom translation models so that translation queries return results specific to your domain.
- Pricing
Vision
- AutoML Vision enables you to train machine learning models to classify your images according to your own defined labels.
- Notebook for preparing a CSV for Google Cloud AutoML Vision
- Pricing
Video Intelligence
- AutoML Video Intelligence enables you to train machine learning models to classify shots and segments in your videos according to your own defined labels.
- Pricing
