Evaluating Learning Algorithms Hardback: A Classification Perspective - Tapa dura

Japkowicz; Shah

 
9780521196000: Evaluating Learning Algorithms Hardback: A Classification Perspective

Sinopsis

Gives a solid basis for conducting performance evaluations of learning algorithms in practical settings with an emphasis on classification algorithms.

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Acerca de los autores

Nathalie Japkowicz is Professor of Computer Science at American University. She is a former assistant professor at Dalhousie University and lecturer at Ohio State University. Japkowicz co-organized numerous workshops on classifier evaluation and the class imbalance problem at AAAI and ICML. She has published many articles in peer-reviewed journals and conference proceedings.

Mohak Shah is an AI and technology executive with extensive experience in bringing data and AI products to market. He has held several senior leadership roles in large enterprises and startups driving both large-scale AI transformation initiatives and zero-to-one product journeys. He is the founder and Managing Director of Praescivi Advisors, a strategic AI advisory practice. As a research scientist, Mohak has published extensively in theoretical and applied machine learning areas.

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Otras ediciones populares con el mismo título

9781107653115: Evaluating Learning Algorithms: A Classification Perspective

Edición Destacada

ISBN 10:  1107653118 ISBN 13:  9781107653115
Editorial: Cambridge University Press, 2014
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