Difference between revisions of "Google AutoML"
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Automatically build and deploy state-of-the-art machine learning models for... | Automatically build and deploy state-of-the-art machine learning models for... | ||
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== Natural Language == | == Natural Language == | ||
Revision as of 21:28, 24 July 2019
YouTube search... ...Google search
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.
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.
Translation
- AutoML Translation lets you to create your own, custom translation models so that translation queries return results specific to your domain.
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
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.
