BOOKS - PROGRAMMING - Mathematics and Computer Science, Volume 1
US $6.90
735148
735148
Mathematics and Computer Science, Volume 1
Author: Sharmistha Ghosh, M. Niranjanamurthy, Krishanu Deyasi
Year: 2023
Number of pages: 557
Format: PDF | EPUB
File size: 107.0 MB, 33.0 MB
Language: ENG
Year: 2023
Number of pages: 557
Format: PDF | EPUB
File size: 107.0 MB, 33.0 MB
Language: ENG
This first volume in a new multi-volume set gives readers the basic concepts and applications for diverse ideas and innovations in the field of computing together with its growing interactions with mathematics. This new edited volume from Wiley-Scrivener is the first of its kind to present scientific and technological innovations by leading academicians, eminent researchers, and experts around the world in the areas of mathematical sciences and computing. The chapters focus on recent advances in Computer Science, and mathematics, and where the two intersect to create value for end users through practical applications of the theory. The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, Machine Learning and Artificial Intelligence, Big Data analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. Scikit-learn, a tool for developing Machine Learning algorithms, is a standard library of Python. Through Scikit-learn, a trained model for predictive analysis can be developed. Python provides a rich data structure library called Pandas, which provides fast and efficient data transformation and analysis.
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