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Classifier Workflow:: Step-by-step Guide for the Comparison of Machine Learning Classification Techniques Zanifa Omary
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Classifier Workflow:: Step-by-step Guide for the Comparison of Machine Learning Classification Techniques
Zanifa Omary
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.
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 24. juni 2010 |
| ISBN13 | 9783838340845 |
| Utgivere | LAP Lambert Academic Publishing |
| Antall sider | 148 |
| Mål | 225 × 8 × 150 mm · 238 g |
| Språk | Tysk |
Se alt med Zanifa Omary ( f.eks. Pocketbok )