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Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued
All the material is licensed under Creative Commons Attribution 3.0 Unported (CC-BY 3.0) and you are free to use it under that license. Please note that the on-line activities that are part of the course are only available when the course is running and are not included below.
We have put together several free online courses that teach machine learning and data mining using Weka. The videos for the courses are available on Youtube. Data Mining with Weka Course material More Data Mining with Weka Course material Advanced Data Mining with Weka Course material
www.cs.waikato.ac.nz/~abifet
www.cs.waikato.ac.nz/~ml
Machine learning (ML) enables computers to analyse data and decide what information is most relevant, facilitating fast and accurate decision making. Our Objectives To develop improved algorithms for ML. To make ML techniques generally available. To apply ML to practical problems in Aotearoa. Software Staff and students at Waikato have developed a software workbench called Weka, for Waikato Enviro
Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this.
Data Mining: Practical Machine Learning Tools and Techniques Machine learning provides an exciting set of technologies that includes practical tools for analyzing data and making predictions but also powers the latest advances in artificial intelligence. We have written a book that provides a highly accessible introduction to the area but also caters for readers who want to delve into the more mat
An exciting and potentially far-reaching development in computer science is the invention and application of methods of machine learning (ML). These enable a computer program to automatically analyse a large body of data and decide what information is most relevant. This crystallised information can then be used to automatically make predictions or to help people make decisions faster and more acc
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