Machine learning software to solve data mining problems. Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform.
Weka is an open-source software tool developed at the University of Waikato, New Zealand for machine learning and data mining. It offers an easy-to-use environment for data preprocessing, model training and evaluation.
Weka 3 - Data Mining with Open Source Machine Learning Software in Java
TechRepublic: Comparative Analysis of WEKA Data Mining Algorithm RandomForest, RandomTree and LADTree for Classification of Indigenous News Data
Comparative Analysis of WEKA Data Mining Algorithm RandomForest, RandomTree and LADTree for Classification of Indigenous News Data
Weka is an open-source machine-learning workbench from the University of Waikato that aggregates algorithms and utilities for data preparation, modeling, and evaluation.
Comprehensive AI platform offering machine learning tools, code generation, data analysis, and interactive learning. Access Weka toolkit, Python environment, and AI assistant from your browser.
Scale Agentic AI with WEKA's accelerated infrastructure. Leverage NeuralMesh to extend GPU memory 1000x, eliminate latency, and maximize your AI data advantage. See the ecosystem in action.
Weka contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions. [1]
Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. WEKA recently became the industry's latest data-focused unicorn, valued at $1.6 billion after ...
Iris Energy has announced a partnership with WEKA as part of the Company’s entry into the generative AI market. As part of the partnership, Iris Energy will utilize the WEKA® Data Platform to provide ...