Designing User Interfaces With a Data Science Approach

Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries.

Summary

Covers a linear history of philosophy, concentrating on 'reciprocity-in-kind', especially the factors and policies behind the 'study agendas' secret philosophies before and after the European powers or the colonial period.

Product details

• Authors: BANUBAKODE WAHAB S
• Assisted by: Mokbul Morshed Ahmad (Editor), Abhijit Narayanrao Banubakode (Editor), Ganesh Dattatray Bhutkar (Editor), Yohannes Kurniawan (Editor), Hasan Reza (Editor), Mohd Rashid Mohd Saad (Editor), Haris Abd Wahab (Editor)
• Publisher: Engineering Science Reference
• Languages: English
• Product format: Hardback
• Released: 31.03.2022
• EAN: 9781799891215
• ISBN: 978-1-79989-121-5
• No. of pages: 356
• Dimensions: 221 mm x 286 mm x 24 mm
• Weight: 1156 g
• Series: e-Book Collection - Copyright 2022
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces