Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models (Chapman & Hall/Crc Data Science) - Softcover

Biecek, Przemyslaw; Burzykowski, Tomasz

Softcover

ISBN 10: 0367693925 ISBN 13: 9780367693923

Verlag: Chapman and Hall/CRC, 2022

Inhaltsangabe

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Über diesen Titel

Über die Autorin bzw. den Autor

Przemyslaw Biecek is a professor in human-oriented machine learning at the Warsaw University of Technology and Principal Data Scientist in Samsung R&D Institute Poland. His main research project is DrWhy.AI - tools and methods for exploration, explanation, visualisation, and debugging of predictive models.

Tomasz Burzykowski is professor of biostatistics at Hasselt University and Vice-President for Research at International Drug Development Institute (IDDI). He has published extensively on applications of statistics in medicine and biology.

Von der hinteren Coverseite

This book is about a new field in statistical machine learning - about interpretation and explanation of predictive models. Machine learning models are widely used in predictive modelling, both for regression and classification.

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 0367693925
• ISBN 13: 9780367693923
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 310
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland