Covers data science theory, concepts, and algorithms for a solid foundation
Includes tutorial-style chapters on machine learning and data analysis for practical learning
Explores information design and infographics to enhance data communication
Features research papers on challenging topics in data science for up-to-date knowledge
Structured for researchers, students, and practitioners to support diverse learning needs
Summarized by Shop
The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding
Book Cover Type
Print
Genre
Technology, Education, Business
Language Version
English
Target Audience
Adults
Number of Chapters
14 (Part I: 5 chapters, Part II: 5 chapters, Part III: 4 chapters)