Applied Math and Science Education Repository - Weka Machine Learning Project

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Title:

Weka Machine Learning Project

Url:

https://www.cs.waikato.ac.nz/~ml/

Publisher:

University of Waikato. Dept. of Computer Science

Description: If you are inspired to try the process, the Weka Machine Learning Project from Waikato University offers open source software that can be used for data mining tasks. Visitors can also find the projects 1993 to 2006 publications, many of which are available for free in as PDFs. The "related" section offers a number of links to further information on topics such as artificial intelligence and machine learning.

LC Classification:

Science -- Mathematics -- Algebra -- Combinatorics. Combinatorial analysis -- Design and configurations
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Computer software -- Special topics, A-Z -- Patterns, Software
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Data mining
Science -- Science (General) -- Cybernetics -- Self-organizing systems. Conscious automata -- Machine learning
Science -- Science (General) -- Cybernetics -- Self-organizing systems. Conscious automata -- Machine learning -- Computational learning theory
Social sciences -- Industries. Land use. Labor -- Industries. Land use. Labor -- Management. Industrial management -- Theory. Method. Relation to other subjects -- Electronic data processing. Information technology

GEM Subject:

Mathematics
Mathematics -- Technology
Mathematics -- Applied mathematics
Mathematics -- Patterns

Key Concept:

Mathematics -- Patterns
Computer science -- Artificial intelligence
Computer science -- Data processing

Resource Type:

Tool -- Software
Reference Material
Audio/Visual -- Graph
Instructional Material
Instructional Material -- Textbook

Format:

Document -- HTML
Application -- Java

Audience:

Educator
Learner
Professional/Practitioner

Education Level:

Higher Education -- Graduate/Professional
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education

Language:

English

Access Rights:

Free access

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Cumulative Rating:

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