Data Science: Techniques and Intelligent Applications

This book provides a comprehensive coverage of data science, including fundamental and advanced topics, applications, and techniques. It is aimed at advanced undergraduates and graduates studying machine learning and data science, as well as researchers and professionals.

Format: Hardback
Length: 308 pages
Publication date: 15 August 2022
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of data science, encompassing both fundamental and advanced topics within this rapidly evolving field. It serves as a valuable resource for those seeking to gain a deep understanding of this multidisciplinary domain.

The book begins by introducing the foundational concepts of data science, emphasizing the diverse types of data and their immense value in various applications. It then proceeds to explore a wide array of real-world applications of data science, showcasing the powerful techniques employed to extract insights and make informed decisions.

One of the key features of this book is its extensive coverage of scientific research methods, technologies, and applications in data science. It presents a collection of cutting-edge techniques and methodologies, enabling readers to apply data science to solve complex problems and achieve predictive outcomes. The book also provides readers with the essential tools, techniques, and case studies required to excel in modern artificial intelligence methods, making it an invaluable resource for both students and professionals.

Furthermore, the book offers a diverse range of intelligent applications that can be designed using data science and its allied fields. It showcases real-world examples and case studies, demonstrating how data science is being leveraged to address pressing societal challenges, such as healthcare, finance, and environmental sustainability.

With its broad scope and interdisciplinary approach, this book is particularly suited for advanced undergraduates and graduates studying machine learning and data science. It also serves as a valuable resource for researchers and professionals seeking to stay updated with the latest advancements in this field.

In conclusion, this comprehensive book provides a thorough and up-to-date exploration of data science, covering a wide range of topics and applications. It is an essential resource for anyone seeking to advance their knowledge and expertise in this rapidly growing field.

Weight: 760g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032254494