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A framework for learning from a continuous backup of examples, random data stream. Encloses classification, regression, clustering, outlier alert also recommender systems. Related to the WEKA project, also written in Java, while scaling upon adaptive large proportion machine learning.

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CategoriesAlgorithms, Simulated Intelligence, Formidable Data LicenseGNU General Public License update 3.0 (GPLv3) Follow MOA – Massive Internet-connected Analysis

MOA – Huge Online Analysis Web Site

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• rayzinnz Posted 2019-11-29 Marvelous for machine learning alongside immense amounts of archives and rivers
• dzikes Posted 2012-04-24 Very nice app 🙂
• yew4u Posted 2012-04-16 Incredibly Helpful 🙂
• adaflink Posted 2011-12-31 Love it!

Read more reviews > Additional Project Details Intended AudienceScience/Research, Advanced Closure Users, Developers Subscriber InterfaceJava Shake, Command-line Programming LanguageJava Pertinent Domains Java Sequences, Java Pseudo Intelligence Software, Java Big Data Tool Noted 2007-11-06 Congruent Field Software

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• Weka Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for material preparation, classification, failure, clustering, association rules mining, and visualization. Found only on the outposts featuring New Zealand, the Weka is a flightless bird with an inquisitive… Perceive Software
• ML.NET ML.NET is a free, open source, and cross-platform engine learning foundation designed for .NET developers to build custom machine knowledge models benefiting from C# otherwise F# without leaving any .NET ecosystem. It supports various machine learning tasks, containing classification, regression, clustering,… See Software

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