ML.NET

ML.NET

Microsoft
+

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About

ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.

About

A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning (ML) models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models. Using cloud-based platforms to discover new business insights. Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results.

About

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

.NET developers searching for a tool to incorporate machine learning capabilities into their applications using familiar languages and tools

Audience

Companies searching for a data science platform that improves productivity

Audience

Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
dotnet.microsoft.com/en-us/apps/ai/ml-dotnet

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/

Alternatives

Alternatives

Alternatives

Kraken

Kraken

Big Squid
AWS Neuron

AWS Neuron

Amazon Web Services
Neural Designer

Neural Designer

Artelnics
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Categories

Categories

Integrations

.NET
Apache Hive
Apache Spark
Bing
C#
F#
Google Cloud AutoML
Impala
Kinetica
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
MySQL
OCI Data Labeling
ONNX
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
TensorFlow

Integrations

.NET
Apache Hive
Apache Spark
Bing
C#
F#
Google Cloud AutoML
Impala
Kinetica
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
MySQL
OCI Data Labeling
ONNX
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
TensorFlow

Integrations

.NET
Apache Hive
Apache Spark
Bing
C#
F#
Google Cloud AutoML
Impala
Kinetica
Microsoft Defender Antivirus
Microsoft Outlook
Microsoft Power BI
MySQL
OCI Data Labeling
ONNX
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
TensorFlow
Claim ML.NET and update features and information
Claim ML.NET and update features and information
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