Classifier Workflow:: Step-by-step Guide for the Comparison of Machine Learning Classification Techniques - Zanifa Omary - Grāmatas - LAP Lambert Academic Publishing - 9783838340845 - 2010. gada 24. jūnijs
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Classifier Workflow:: Step-by-step Guide for the Comparison of Machine Learning Classification Techniques

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As the interest in machine learning and data mining springs up, the problem of how to assess learning algorithms and compare classifiers become more pressing. This has been associated with the lack of comprehensive and complete workflow depending on the project scale to provide guidance to its users. This means the success or failure of machine learning project can be highly dependent on the person or team carrying it and their existing knowledge on machine learning. Classifier Workflow provides eight-steps that machine learning experimenter have to follow while comparing machine learning classification techniques.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2010. gada 24. jūnijs
ISBN13 9783838340845
Izdevēji LAP Lambert Academic Publishing
Lapas 148
Izmēri 225 × 8 × 150 mm   ·   238 g
Valoda Vācu  

Skatīt visus Zanifa Omary ( piem., Paperback Book )