Data Science in Theory and Practice
1st Edition
Published on 16. June 2025
Book
Paperback/Softback
368 pages
978-1-0364-5178-3 (ISBN)
Description
This comprehensive edited volume showcases the latest breakthroughs and innovative research in the rapidly evolving field of data science, and brings together contributions from leading experts and researchers who push the boundaries of the field, offering readers a deep insight into the diverse facets of this transformative discipline.
Spanning a wide spectrum of topics, the chapters in this volume cover key areas such as machine learning, artificial intelligence, statistical analysis, and ethical considerations in data science. Each chapter is a testament to the ongoing quest for knowledge and the relentless pursuit of excellence in harnessing the power of data for meaningful insights and actionable intelligence.
Whether you're an experienced data scientist, a researcher exploring the frontiers of the field, or a novice eager to grasp the fundamentals, this edited volume serves as a valuable resource. The compilation not only highlights the current state of data science but also anticipates future trends, paving the way for continued advancements and paradigm shifts in the way we approach, analyze, and leverage data.
Spanning a wide spectrum of topics, the chapters in this volume cover key areas such as machine learning, artificial intelligence, statistical analysis, and ethical considerations in data science. Each chapter is a testament to the ongoing quest for knowledge and the relentless pursuit of excellence in harnessing the power of data for meaningful insights and actionable intelligence.
Whether you're an experienced data scientist, a researcher exploring the frontiers of the field, or a novice eager to grasp the fundamentals, this edited volume serves as a valuable resource. The compilation not only highlights the current state of data science but also anticipates future trends, paving the way for continued advancements and paradigm shifts in the way we approach, analyze, and leverage data.
More details
Other editions
Additional editions
Jaydip Sen | Sayantani Roy Choudhury
Data Science in Theory and Practice
Book
09/2024
Cambridge Scholars Publishing
€112.99
Shipment within 15-20 days
Persons
Professor Jaydip Sen's current research areas include machine learning, artificial intelligence, and deep learning. He has authored around 200 papers in indexed international journals and refereed conference proceedings, 17 book chapters, nine edited volumes, and two books. He is a senior member of the Association for Computing Machinery, USA, and the Institute of Electrical and Electronics Engineers, USA. He has appeared in the list of the top 2% of scientists in the world, as per studies conducted by Stanford University, USA, consecutively from 2019 to 2023.
Professor Sayantani Roy Choudhury's research areas include labor economics, women's studies, and migration. She secured her MPhil degree with a specialization in Gender and Urban Economics, from Calcutta University, India. She was awarded a PhD in Economics from Calcutta University in 2011. She has publications in reputed international and Indian journals, book chapters in books published by internationally renowned publishing houses and one book to her credit.
Professor Sayantani Roy Choudhury's research areas include labor economics, women's studies, and migration. She secured her MPhil degree with a specialization in Gender and Urban Economics, from Calcutta University, India. She was awarded a PhD in Economics from Calcutta University in 2011. She has publications in reputed international and Indian journals, book chapters in books published by internationally renowned publishing houses and one book to her credit.