BOOKS - Artificial Intelligence, Machine Learning and User Interface Design
Artificial Intelligence, Machine Learning and User Interface Design - Abhijit Banubakode, Sunita Dhotre, Chhaya S. Gosavi, G.S. Mate 2024 PDF | EPUB Bentham Science Publishers BOOKS
1 TON

Views
94846

Telegram
 
Artificial Intelligence, Machine Learning and User Interface Design
Author: Abhijit Banubakode, Sunita Dhotre, Chhaya S. Gosavi, G.S. Mate
Year: 2024
Format: PDF | EPUB
File size: 10.3 MB
Language: ENG



Pay with Telegram STARS
Book Description: The book "Artificial Intelligence Machine Learning and User Interface Design" explores the intersection of artificial intelligence (AI), machine learning, and user interface design, providing readers with a comprehensive understanding of these interconnected fields and their potential impact on society. The author argues that the development and integration of AI and machine learning technologies into our daily lives has the potential to revolutionize the way we interact with technology, but also raises important ethical and societal questions about the future of work, privacy, and autonomy. The book begins by examining the history and current state of AI and machine learning, including their applications in various industries such as healthcare, finance, and transportation. It then delves into the principles and techniques of user interface design, highlighting the importance of creating intuitive and user-friendly interfaces that can effectively communicate with humans. The author emphasizes the need for a personal paradigm for perceiving the technological process of developing modern knowledge, which he believes is essential for the survival of humanity and the unification of people in a warring state. Throughout the book, the author presents case studies and examples of how AI and machine learning are being used in practice, from self-driving cars to virtual assistants like Siri and Alexa. He also explores the challenges and limitations of these technologies, such as bias and discrimination, and discusses the need for responsible and inclusive design practices.
Книга «Artificial Intelligence Machine arning and User Interface Design» исследует взаимосвязь искусственного интеллекта (ИИ), машинного обучения и дизайна пользовательского интерфейса, предоставляя читателям исчерпывающее понимание этих взаимосвязанных областей и их потенциального влияния на общество. Автор утверждает, что развитие и интеграция технологий ИИ и машинного обучения в нашу повседневную жизнь может революционизировать то, как мы взаимодействуем с технологиями, но также поднимает важные этические и социальные вопросы о будущем работы, конфиденциальности и автономии. Книга начинается с изучения истории и текущего состояния ИИ и машинного обучения, включая их применение в различных отраслях, таких как здравоохранение, финансы и транспорт. Затем он углубляется в принципы и методы проектирования пользовательского интерфейса, подчеркивая важность создания интуитивно понятных и удобных интерфейсов, которые могут эффективно общаться с людьми. Автор подчеркивает необходимость личностной парадигмы восприятия технологического процесса развития современных знаний, которые, по его мнению, необходимы для выживания человечества и объединения людей в воюющем государстве. На протяжении всей книги автор представляет тематические исследования и примеры того, как ИИ и машинное обучение используются на практике - от беспилотных автомобилей до виртуальных помощников вроде ri и Alexa. Он также исследует проблемы и ограничения этих технологий, такие как предвзятость и дискриминация, и обсуждает необходимость ответственной и инклюзивной практики проектирования.
Il libro «Artigial Intelligence Machine arning and User Interface Design» esamina le relazioni tra intelligenza artificiale (IA), apprendimento automatico e progettazione dell'interfaccia utente, fornendo ai lettori una comprensione completa di queste aree interconnesse e del loro potenziale impatto sulla società. L'autore sostiene che lo sviluppo e l'integrazione della tecnologia dell'IA e dell'apprendimento automatico nella nostra vita quotidiana può rivoluzionare il modo in cui interagiamo con la tecnologia, ma solleva anche importanti questioni etiche e sociali sul futuro del lavoro, della privacy e dell'autonomia. Il libro inizia con lo studio della storia e dello stato attuale dell'IA e dell'apprendimento automatico, inclusa la loro applicazione in diversi settori come l'assistenza sanitaria, la finanza e i trasporti. approfondisce quindi nei principi e nei metodi di progettazione dell'interfaccia utente, sottolineando l'importanza di creare interfacce intuitive e comode in grado di comunicare efficacemente con le persone. L'autore sottolinea la necessità di un paradigma personale della percezione del processo tecnologico per lo sviluppo delle conoscenze moderne, che ritiene essenziali per la sopravvivenza dell'umanità e l'unione delle persone in uno stato in guerra. Durante tutto il libro, l'autore presenta studi di caso e esempi di come l'IA e l'apprendimento automatico vengono utilizzati in pratica, dai droni agli assistenti virtuali come ri e Alexa. Esplora anche i problemi e le limitazioni di queste tecnologie, come il pregiudizio e la discriminazione, e discute della necessità di una pratica di progettazione responsabile e inclusiva.
''

You may also be interested in:

Artificial Intelligence, Machine Learning and User Interface Design
Artificial Intelligence, Machine Learning and User Interface Design
Simple Machine Learning for Programmers Beginner|s Intro to Using Machine Learning, Deep Learning, and Artificial Intelligence for Practical Applications
Machine Learning for Beginners A Complete and Phased Beginner’s Guide to Learning and Understanding Machine Learning and Artificial Intelligence Algoritms
Artificial Intelligence 4 books in 1 AI For Beginners + AI For Business + Machine Learning For Beginners + Machine Learning And Artificial Intelligence
Machine Learning for Business The Ultimate Artificial Intelligence & Machine Learning for Managers, Team Leaders and Entrepreneurs
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Python Machine Learning The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science
Machine Learning with Python The Ultimate Guide to Learn Machine Learning Algorithms. Includes a Useful Section about Analysis, Data Mining and Artificial Intelligence in Business Applications
Machine Learning The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics. Learn the Building Block Algorithms and the Machine Learning’s Application in the Modern Life
Machine Learning for Beginners An Introduction to Artificial Intelligence and Machine Learning
Artificial Intelligence What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Federated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Risk Modeling Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Programming Machine Learning Machine Learning Basics Concepts + Artificial Intelligence + Python Programming + Python Machine Learning
Programming Machine Learning Machine Learning Basics Concepts + Artificial Intelligence + Python Programming + Python Machine Learning
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
Machine Learning For Beginners Step-by-Step Guide to Machine Learning, a Beginners Approach to Artificial Intelligence, Big Data, Basic Python Algorithms, and Techniques for Business (Practical Exampl
Societal Impacts of Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning for Smart Community
Societal Impacts of Artificial Intelligence and Machine Learning
Artificial Intelligence With an Introduction to Machine Learning, Second Edition
Machine Learning Architecture in the age of Artificial Intelligence
Artificial Intelligence and Machine Learning for Smart Community
Essentials of Python for Artificial Intelligence and Machine Learning
Essentials of Python for Artificial Intelligence and Machine Learning
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Sustainable Materials The Role of Artificial Intelligence and Machine Learning
Sustainable Materials The Role of Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning Applications for Sustainable Development
Artificial Intelligence and Machine Learning in Drug Design and Development
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Artificial Intelligence and Machine Learning in Drug Design and Development
Artificial Intelligence for Business What You Need to Know about Machine Learning and Neural Networks
Biomedical Imaging Advances in Artificial Intelligence and Machine Learning
Distributed Artificial Intelligence for 5G/6G Communications Frameworks with Machine Learning