Azure Machine Learning Studio
NOAWARDS
YET
Pricing:
Starting from $9.99
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Drag-and-Drop Function
- Projects
- Notebooks
- Datasets
- Modules
- Trained Models
- Experiments
- Experiment Conversion
- Web Service Publishing
- Cortana Intelligence Suite
- Cortana Intelligence Gallery
- APIs
Pricing Info
Pricing Info
Azure Machine Learning Studio offers the following enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Free – $0
- 100 Modules per Experiment
- 1 Hour per Experiment
- 10 GB Storage Space
- Single Node Execution/Performance
Standard – $9.99/seat/month
- $1 per Studio Experimentation Hour
- Unlimited Modules per Experiment
- Up to 7 Days per Experiment, 24 Hours per Module
- Unlimited – BYO Storage Space
- On-Premises SQL Data Processing
- Multiple Nodes Execution/Performance
- Production Web API
- SLA
Integrations
Integrations
Azure Machine Learning Studio offers APIs for developers’ use. For more information, contact support or get in touch with the community.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, Stanford’s SLAC National Accelerator Laboratory
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 interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.
Company Email
Contact No.
Company's Address
Microsoft Azure
1 Microsoft Way
Redmond, WA 98052
USA
Azure Machine Learning Studio Comparisons
Popular Azure Machine Learning Studio Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Classification
- Regression
- Dimensionality Reduction
- Model Selection
- Clustering
- Preprocessing
Pricing Info
scikit-learn has no enterprise pricing plan. Instead, it is a free-to-use software covered by the BSD license.
Integrations
scikit-learn provides documentation for the use of its API if you want to integrate your app. No other integration information is provided.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Spotify, Inria, Evernote
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 free-to-use machine learning module for Python built on SciPy. This AI platform is capable of creating neuroimages, predicting consumer behavior, detecting abusive actions in the web, and more. It is also released with a BSD license which means individuals and businesses can utilize scikit-learn for personal and commercial purposes.
Company Email
Contact No.
Company's Address
scikit-learn
Domaine de Voluceau
Rocquencourt - BP 105
78153 Le Chesnay Cedex
scikit-learn Comparisons
Popular scikit-learn Alternatives
No AI Software will be able to cover all the requirements of a business. Even though core features of Azure Machine Learning Studio and scikit-learn should matter you should also carefully explore the integrations offered by a given app. Very often you will already be making use of other types of B2B software in your company and it’s always more beneficial to opt for services that integrate well with one another. That way you can ensure a reliable exchange of data between your teams and software used, which can really reduce time devoted to migrating between one product and the next.
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