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features
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Description

Apache Mahout is an advanced and adaptable machine learning library that excels in processing distributed datasets efficiently. It encompasses a wide array of algorithms suitable for tasks such as classification, clustering, recommendation, and pattern mining. By integrating seamlessly with the Apache Hadoop ecosystem, Mahout utilizes MapReduce and Spark to facilitate the handling of extensive datasets. This library functions as a distributed linear algebra framework, along with a mathematically expressive Scala domain-specific language, which empowers mathematicians, statisticians, and data scientists to swiftly develop their own algorithms. While Apache Spark is the preferred built-in distributed backend, Mahout also allows for integration with other distributed systems. Matrix computations play a crucial role across numerous scientific and engineering disciplines, especially in machine learning, computer vision, and data analysis. Thus, Apache Mahout is specifically engineered to support large-scale data processing by harnessing the capabilities of both Hadoop and Spark, making it an essential tool for modern data-driven applications.

Description

A comprehensive static site generator that comes fully equipped for a wide range of applications, allowing you to utilize it immediately or enhance it through personalized pipelines, data sources, and layouts. It builds on the capabilities of Statiq Web by incorporating features for creating .NET API documentation while retaining all the advantages of a powerful general-purpose static site generator. This framework underlies both Statiq Web and Statiq Docs, boasting over 100 modules that facilitate the creation of a tailored static generator application to meet your specific requirements. Recognizing that various types of content necessitate unique templates, Statiq provides versatile support for Markdown, Razor, and standard HTML, with plans to introduce additional languages such as Handlebars/Mustache and Liquid in the near future. Statiq is adept at understanding diverse data formats including YAML, JSON, and XML, which enables seamless integration of any data format for any intended application. Whether working with data files or utilizing front matter, you can choose the data format that aligns best with your preferences, ensuring a smooth and efficient workflow. This flexibility makes Statiq an excellent choice for developers looking to create dynamic and engaging static websites.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
ASTRAD DSP
Amazon Web Services (AWS)
Apache Spark
Azure App Service
GitHub Pages
HTML
Hadoop
Kontent.ai
Markdown
Netlify

Integrations

.NET
ASTRAD DSP
Amazon Web Services (AWS)
Apache Spark
Azure App Service
GitHub Pages
HTML
Hadoop
Kontent.ai
Markdown
Netlify

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

mahout.apache.org

Vendor Details

Company Name

Statiq

Website

www.statiq.dev/

Product Features

Machine Learning

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

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