£153.90

Springer Mathematics of Intelligent Computing and Data Science

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Description

Explore the latest advancements in computational theory with Mathematics of Intelligent Computing and Data Science. This volume contains selected contributions from the International Conference on Mathematics of Intelligent Computing and Data Science (ICMICDS-22), which took place at the Rajagiri School of Engineering and Technology in Kochi, India. This Springer Proceedings in Mathematics and Statistics volume serves as a professional resource for researchers and practitioners. It covers a wide range of essential topics including artificial intelligence, machine learning, data analysis, and optimization. By bringing together ideas from plenary and invited talks, the book provides a comprehensive look at the mathematical foundations driving modern technology. Whether you are working in academic research or industrial application, these collected works offer a deep look into the mathematical frameworks used in data science and intelligent computing. This text is an essential addition to any library focused on the intersection of mathematics and computer science.

Key Features

Contains selected research from the ICMICDS-22 conference held in Kochi, India.

Covers a wide range of topics including artificial intelligence and machine learning.

Provides detailed insights into data analysis and optimization techniques.

Part of the Springer Proceedings in Mathematics and Statistics series, volume 484.

Offers a collection of works from plenary and invited conference talks.

Serves as a resource for both academic researchers and industry practitioners.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 March 2025
Listed Since
14 November 2024

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