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Description

ML.NET is a versatile, open-source machine learning framework that is free to use and compatible across platforms, enabling .NET developers to create tailored machine learning models using C# or F# while remaining within the .NET environment. This framework encompasses a wide range of machine learning tasks such as classification, regression, clustering, anomaly detection, and recommendation systems. Additionally, ML.NET seamlessly integrates with other renowned machine learning frameworks like TensorFlow and ONNX, which broadens the possibilities for tasks like image classification and object detection. It comes equipped with user-friendly tools such as Model Builder and the ML.NET CLI, leveraging Automated Machine Learning (AutoML) to streamline the process of developing, training, and deploying effective models. These innovative tools automatically analyze various algorithms and parameters to identify the most efficient model for specific use cases. Moreover, ML.NET empowers developers to harness the power of machine learning without requiring extensive expertise in the field.

Description

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

TensorFlow Yes 
AIConsole No 
AiXcoder No 
Apache NetBeans No 
Artelys Knitro No 
Azure Database for MySQL No 
Code Metal No 
GPT-5.5 No 
InstaVM No 
JFrog No 
New Relic No 
Postcoder No 
Prefect Horizon No 
Proxy-Seller No 
Qualcomm AI Inference Suite No 
Restack No 
Seyare No 
Sudo No 
Surmount AI No 
python-sql No 

Integrations

TensorFlow Yes 
AIConsole Yes 
AiXcoder Yes 
Apache NetBeans Yes 
Artelys Knitro Yes 
Azure Database for MySQL Yes 
Code Metal Yes 
GPT-5.5 Yes 
InstaVM Yes 
JFrog Yes 
New Relic Yes 
Postcoder Yes 
Prefect Horizon Yes 
Proxy-Seller Yes 
Qualcomm AI Inference Suite Yes 
Restack Yes 
Seyare Yes 
Sudo Yes 
Surmount AI Yes 
python-sql Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

Python

Founded

1991

Website

www.python.org

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

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