Cloud Machine Learning Engine Review
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- What is Cloud Machine Learning Engine
- Product Quality Score
- Main Features
- List of Benefits
- Technical Specifications
- Available Integrations
- Customer Support
- Pricing Plans
- Other Popular Software Reviews
What is Cloud Machine Learning Engine?
Cloud Machine Learning Engine is an online predictive analytics modelling solution for processing data of various sizes. It features a framework which several Google services such as Google Cloud Speech and Google Phots utilize. It enables developers to use its framework in building a scalable model. It can also be utilized in managing models used for vast and group predictions. The system is able to integrate with Google Cloud Dataflow that provides users with the ability to view and obtain information for various sources of data storage. Additionally, models created through the system is immediately available to others through the global prediction application of Google. This feature makes shared model available for users from everywhere in the globe. They can then use it for processing their own data as well as receiving predictions too.Product Quality Score
Cloud Machine Learning Engine features
Main features of Cloud Machine Learning Engine are:
- HyperTune
- Cloud Datalab
- Portable Models
- Prediction Services
- TensorFlow Framework
- Machine Learning Samples Sharing
Cloud Machine Learning Engine Benefits
The main benefits of Cloud Machine Learning Engine are its scalability, capability to integrate with other applications, HyperTune feature, and its neural network learning ability. Here are more details:
Scalable
The system’s TensorFlow Framework feature allows users to develop machine learning models for data of all types and sizes. Group training of models can be handled by the system as well as set and in-depth predictions. This could be used by many users and is also able to support vast number of data.
Cloud Machine Learning Engine is also capable of automatically scaling in order to accommodate the varying needs of different users. It is able to connect with Google load balancing servers which empower access of users from all over the world as well as automatic scaling of developed applications. The software is also equipped with a web-based prediction feature which allows for a smooth transition of prediction from training.
Integration with other external services
The software is capable of integrating with other services such as Google Cloud Dataflow that empowers access of data from different cloud data storages like as Google BigQuery, Google Cloud Storage and others. This would result in an easier importing of information from several services as well as exporting to them.
Model training automation
HyperTune is a tool which the system utilizes for automated training of models which gives users the capabilities of seeing results on a much faster pace. It uses innovative optimization processes to achieve such a result. Users are also provided with an interface which allows management of their cloud-based experiment easily.
Deep learning
The software features deep learning capabilities that allow it to run all types of TensorFlow models. This gives wider options and scenarios for users when developing their models.
Technical Specifications
Devices Supported
- Web-based
- iOS
- Android
- Desktop
Customer types
- Small business
- Medium business
- Enterprise
Support Types
- Phone
- Online
Cloud Machine Learning Engine Integrations
The following Cloud Machine Learning Engine integrations are currently offered by the vendor:
- Google BigQuery
- Google Cloud Storage
Customer Support
Pricing Plans
Cloud Machine Learning Engine pricing is available in the following plans:
