Audience

Anyone who wants to train high-quality custom machine learning models with minimal effort and machine learning expertise

About Google Cloud AutoML

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Cloud AutoML leverages more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions. Use Cloud AutoML’s simple graphical user interface to train, evaluate, improve, and deploy models based on your data. You’re only a few minutes away from your own custom machine learning model. Google’s human labeling service can put a team of people to work annotating or cleaning your labels to make sure your models are being trained on high-quality data.

Pricing

Free Trial:
Free Trial available.

Integrations

Ratings/Reviews

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Company Information

Google
Founded: 1998
United States
cloud.google.com/automl

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Google Cloud AutoML Frequently Asked Questions

Q: What kinds of users and organization types does Google Cloud AutoML work with?
Q: What languages does Google Cloud AutoML support in their product?
Q: What kind of support options does Google Cloud AutoML offer?
Q: What other applications or services does Google Cloud AutoML integrate with?
Q: What type of training does Google Cloud AutoML provide?
Q: Does Google Cloud AutoML offer a free trial?

Google Cloud AutoML Product Features

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported

Google Cloud AutoML Additional Categories