Название: Advanced Mathematical Applications in Data Science
Автор: Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw
Издательство: Bentham Books
Год: 2023
Страниц: 223
Язык: английский
Формат: pdf (true), epub
Размер: 27.1 MB
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of Data Science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in Data Science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, Machine Learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way organic nervous systems, such as the brain, process data.