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Artificial Intelligence, Machine Learning and User Interface Design

Editors: Abhijit Banubakode, Sunita Dhotre, Chhaya S. Gosavi, G. S. Mate, Nuzhat Faiz Shaikh, Sandhya Arora

Artificial Intelligence, Machine Learning and User Interface Design

ISBN: 978-981-5179-61-3
eISBN: 978-981-5179-60-6 (Online)

Introduction

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.

Readership:

Computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

Preface

This edited book is aimed to be used by undergraduate or postgraduate students, researchers and industry professionals from a wide range of backgrounds like finance, e-learning, agriculture, social media, healthcare and many more.

Artificial Intelligence is a multidisciplinary field with an intrinsic relationship as a subfield to computer science. AI algorithms are preferred for faster and more accurate results, which enables AI to do many complicated and extensive tasks.

Machine learning has been playing a vital role in almost all major fields, such as finance, marketing, security, healthcare, social sciences, automobile, e-learning and many more. Machine learning, one of the most significant advances of this century, refers to an emerging area related to the collection, preparation, analysis, visualization, management, and preservation of both - structured and unstructured data. This book covers a vast range of topics critical to the field of Artificial Intelligence and Machine Learning in an easy-to- understand language.

This edited book will be ideal for both - beginners and experts related to Artificial Intelligence and Machine Learning.

Abhijit Banubakode
MET Institute of Computer Science, Bhujbal Knowledge City
Bandra Reclamation, Bandra (West)
Mumbai, Maharashtra, India


Sunita Dhotre
Department of Computer Engineering
Bharati Vidyapeeth (Deemed to be University)
College of Engineering
Pune, Maharashtra, India


Chhaya S. Gosavi
Department of Computer Engineering
MKSSS's Cummins College of Engineering for Women
Pune, Maharashtra, India


G. S. Mate
Department of Information Technology
JSPMs Rajarshi Shahu College of Engineering
Pune, Maharashtra, India


Nuzhat Faiz Shaikh
Department of Computer Engineering
M. E. S's Wadia College of Engineering
Pune, Maharashtra, India


&


Sandhya Arora
Department of Computer Engineering
MKSSS's Cummins College of Engineering for Women
Pune, Maharashtra, India