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Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback) Loot Price: R1,484
Discovery Miles 14 840
Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback): Przemyslaw Biecek, Tomasz Burzykowski

Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback)

Przemyslaw Biecek, Tomasz Burzykowski

Series: Chapman & Hall/CRC Data Science Series

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Loot Price R1,484 Discovery Miles 14 840 | Repayment Terms: R139 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Data Science Series
Release date: September 2022
Authors: Przemyslaw Biecek • Tomasz Burzykowski
Dimensions: 234 x 156 x 20mm (L x W x T)
Format: Paperback
Pages: 310
ISBN-13: 978-0-367-69392-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Environmental engineering & technology > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN: 0-367-69392-5
Barcode: 9780367693923

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