Cloud Machine Learning Engine
NOAWARDS
YET
Pricing:
Starting from $0.10
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- TensorFlow Framework
- Prediction Services
- HyperTune
- Cloud Datalab
- Portable Models
- Machine Learning Samples Sharing
Pricing Info
Pricing Info
Cloud Machine Learning Engine is available in a free-to-use edition and a paid edition. The following is a summary of enterprise pricing plans for the paid version. Give the details a look, and select the best plan for your business.
Model Training
- US – $0.49/hour/ML Training UNit
- Europe/ASIA – $0.54/hour/ML Training Unit
Prediction
- US – $0.10/thousand predictions + $0.40/hour
- Europe – $0.11/thousand predictions + $0.44/hour
Integrations
Integrations
Cloud Machine Learning Engine integrates with the following business systems and applications.
- Google Cloud Storage
- Google BigQuery
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Airbus Defense & Space
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A cloud-based predictive analytics modeling platform for data of all sizes. Its deep learning capabilities enables it to run any type of TensorFlow model and design machine learning models. Cloud Machine Learning Engine is also integrated with Google Dataflow, thus allowing access to Google BigQuery and Google Storage.
Company Email
Contact No.
Company's Address
Google
1600 Amphitheatre Parkway
Mountain View, CA 94043
United States
Cloud Machine Learning Engine Comparisons
Popular Cloud Machine Learning Engine Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Visual User Interface
- RBLang Intuitive Language
- Flexible Rule Engine
- Evidence Tree
- Knowledge Maps
- API Integration
- One-Click Publishing
- Learning Algorithms
- Linked Knowledge
- Contextual Interactions
Pricing Info
Rainbird has two components: Rainbird Authoring Platform and Rainbird Cognitive Reasoning Engine. They are licensed individually. Interested parties can choose between their enterprise pricing packages for Operational Use License and Fee-Based License. There are also on-premise licenses available as well as discounts for educational institutions and charities. For more information and to request a quote, contact sales via email, web form, or telephone.
Integrations
Because Rainbird is built on an open architecture, any model created with the platform can be published as an API for seamless integration with third-party software. Rainbird Knowledge Maps are also enabled for smooth connections with third-party systems.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Fluid Motion, IBM Watson, Taylor Wessing
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
An AI-driven and automated cognitive reasoning platform that lets organizations apply only the best decision-making practices at scale.
Company Email
engage@rainbird.ai
Contact No.
Company's Address
Rainbird
5001, WeWork Aldgate Tower,
2 Leman Street, London, E1 8FA
UK
Rainbird Comparisons
Popular Rainbird Alternatives
If you are still having doubts about which service will be best for your business it may be a sound idea to analyze each service’s social metrics. Such metrics are quite often a sign of how popular each solution is and how large is its online presence.For example, if you analyze Cloud Machine Learning Engine LinkedIn page you’ll find out that they are followed by 103067 people. In case of Rainbird the volume of followers on their LinkedIn page is 1023.
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