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ease
features
design
support

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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

Baidu AI Cloud Machine Learning (BML) serves as a comprehensive platform for enterprises and AI developers, facilitating seamless data pre-processing, model training, evaluation, and deployment services. This all-in-one AI development and deployment system empowers users to efficiently manage every aspect of their projects. With BML, tasks such as data preparation, model training, and service deployment can be executed in a streamlined manner. The platform boasts a high-performance cluster training environment, an extensive array of algorithm frameworks, and numerous model examples, along with user-friendly prediction service tools. This setup enables users to concentrate on refining their models and algorithms to achieve superior prediction outcomes. Additionally, the interactive programming environment supports data processing and code debugging, making it easier for users to iterate on their work. Furthermore, the CPU instance allows for the installation of third-party software libraries and customization of the environment, providing users with the flexibility they need to tailor their machine learning projects. Overall, BML stands out as a valuable resource for anyone looking to enhance their AI development experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
Hadoop
JupyterLab

Integrations

Apache Spark
Hadoop
JupyterLab

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

Baidu

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/bml.html

Product Features

Machine Learning

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

Product Features

Machine Learning

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

Alternatives

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