£113.75

Chapman and Hall/CRC Introduction to Classifier Performance Analysis

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Description

Enhance your data science expertise with Introduction to Classifier Performance Analysis with R. Part of the Chapman and Hall/CRC Data Science Series, this book provides a specialized look at evaluating model performance within the field of AI and Machine Learning. Designed for readers interested in computing and internet technologies, this text focuses on the practical application of R for analyzing classifier results. Whether you are studying computer science or working in professional data environments, this resource offers a structured approach to understanding how classifiers function and how to measure their effectiveness accurately. By integrating statistical concepts with R programming, this book serves as a valuable addition to your technical library. It is an essential tool for anyone looking to deepen their knowledge of machine learning evaluation metrics and data science methodologies.

Key Features

Part of the professional Chapman and Hall/CRC Data Science Series for reliable technical learning.

Focused on AI and Machine Learning topics to support advanced computer science studies.

Utilizes the R programming language for practical performance analysis applications.

Designed for readers exploring computing and internet technologies through data science.

Provides a technical foundation in classifier performance measurement and evaluation.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 December 2024
Listed Since
27 May 2024

Barcode

No barcode data available

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