£111.52

Springer AI, Big Data and Data Science in Statistics Book

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Description

Explore the connection between statistics, machine learning, and artificial intelligence in this comprehensive volume from Springer. This book provides a deep look into how data science and big data impact the natural sciences, technology, and environmetrics. By bridging the gap between theoretical studies and practical application, it helps readers understand how to manage high-dimensional data effectively. Readers will find detailed information on applying machine learning methods to complex scientific problems. The text covers the current state of the art, offering both general methodologies and specific theoretical studies. It is designed to demonstrate the advantages of using statistical modeling to analyze large datasets within the natural sciences and technological sectors. Whether you are studying advanced data science or applying these methods to environmental research, this book offers the expert insights needed to navigate modern data challenges.

Key Features

Covers the relationship between statistics, machine learning, and artificial intelligence for scientific research.

Provides both theoretical studies and practical applications for machine learning methods.

Focuses on modeling and analyzing high-dimensional and big data within various scientific fields.

Offers expert methodologies for performing sound statistical analyses of complex datasets.

Addresses specific challenges and solutions in environmetrics, technology, and the natural sciences.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 November 2022
Listed Since
27 April 2022

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