Artificial Intelligence, Machine Learning and User Interface Design

Artificial Intelligence, Machine Learning and User Interface Design
Author :
Publisher : Bentham Science Publishers
Total Pages : 303
Release :
ISBN-10 : 9789815179613
ISBN-13 : 9815179616
Rating : 4/5 (13 Downloads)

Book Synopsis Artificial Intelligence, Machine Learning and User Interface Design by : Abhijit Banubakode

Download or read book Artificial Intelligence, Machine Learning and User Interface Design written by Abhijit Banubakode and published by Bentham Science Publishers. This book was released on 2024-05-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies. The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains. Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management. Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.


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