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What is ML.NET?

ML.NET is a flexible and open-source machine learning framework that is free and designed to work across various platforms, allowing .NET developers to build customized machine learning models utilizing C# or F# while staying within the .NET ecosystem. This framework supports an extensive array of machine learning applications, including classification, regression, clustering, anomaly detection, and recommendation systems. Furthermore, ML.NET offers seamless integration with other established machine learning frameworks such as TensorFlow and ONNX, enhancing the ability to perform advanced tasks like image classification and object detection. To facilitate user engagement, it provides intuitive tools such as Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the development, training, and deployment of robust models. These cutting-edge tools automatically assess numerous algorithms and parameters to discover the most effective model for particular requirements. Additionally, ML.NET enables developers to tap into machine learning capabilities without needing deep expertise in the area, making it an accessible choice for many. This broadens the reach of machine learning, allowing more developers to innovate and create solutions that leverage data-driven insights.

What is Decanter AI?

Decanter AI is an intuitive no-code AI platform designed to empower data scientists, domain experts, and business leaders in crafting and implementing AI solutions effortlessly. Central to the success of any business is data, which, while offering numerous opportunities for growth, also introduces various challenges. With Decanter AI's cutting-edge AI technologies, the process of digital transformation can be as straightforward as enjoying a bagel. The platform leverages automated Machine Learning (AutoML), streamlining the machine-learning workflow to facilitate AI-driven decision-making for organizations. Additionally, it extracts significant business value from enterprise data, enabling companies to harness their information effectively. By providing top-tier machine learning technologies via an easy-to-use interface, Decanter AI empowers businesses to tackle their challenges through an AI-focused approach, allowing them to swiftly create, test, and implement highly accurate models that address their specific needs. Ultimately, Decanter AI stands as a vital resource for organizations aiming to navigate the complexities of AI integration.

Media

Media

Integrations Supported

.NET
Bing
C#
F#
Google Cloud AutoML
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
ONNX
TensorFlow

Integrations Supported

.NET
Bing
C#
F#
Google Cloud AutoML
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
ONNX
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

dotnet.microsoft.com/en-us/apps/ai/ml-dotnet

Company Facts

Organization Name

MoBagel Inc.

Date Founded

2015

Company Location

United States

Company Website

mobagel.com/decanter-ai/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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