£113.04

Springer - Statistical Models and Learning Methods for Data

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Description

Expand your technical library with Statistical Models and Learning Methods for Complex Data from Springer. As part of the Studies in Classification, Data Analysis, and Knowledge Organization series, this text provides a focused look at advanced methodologies within the field of computer science. This resource is designed for those studying AI and machine learning, offering insights into the structures used to interpret and organize complex datasets. By focusing on classification and data analysis, the book serves as a foundational reference for understanding how statistical models function in modern computing environments. Whether you are a student or a professional in the computing and internet sector, this publication from Springer offers specialized knowledge for navigating the challenges of data organization. It is an essential addition for anyone looking to strengthen their understanding of machine learning principles and statistical applications in data science.

Key Features

Part of the professional Studies in Classification, Data Analysis, and Knowledge Organization series.

Published by Springer, a trusted name in academic and technical literature.

Covers essential topics in AI and machine learning for complex data environments.

Focuses on statistical models and learning methods used in modern data analysis.

Designed for readers interested in computer science and data organization techniques.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 October 2025
Listed Since
08 January 2025

Barcode

No barcode data available

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