BOOKS - Artificial Intelligence and Machine Learning Foundations Learning from experi...
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition - Steve Lawless, Andrew Lowe 2024 PDF | EPUB | MOBI BCS, The Chartered Institute for IT BOOKS
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Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Author: Steve Lawless, Andrew Lowe
Year: 2024
Pages: 312
Format: PDF | EPUB | MOBI
File size: 10.7 MB
Language: ENG



Ross. The book "Artificial Intelligence and Machine Learning Foundations Learning from Experience" by David A. Ross provides a comprehensive overview of the field of artificial intelligence (AI) and machine learning (ML), covering both the fundamental concepts and the latest advancements in these areas. The author emphasizes the importance of understanding the historical development of AI and ML, as well as their current applications and future potential. He argues that this understanding is crucial for developing a personal paradigm for perceiving the technological process of developing modern knowledge, which can serve as the basis for the survival of humanity and the unity of people in a warring state. The book begins by exploring the origins of AI and ML, tracing their evolution from ancient Greek mythology to modern-day applications. It then delves into the basic principles of AI and ML, including the concept of intelligent agents, the difference between supervised and unsupervised learning, and the role of neural networks in ML. The author also discusses the challenges of defining intelligence and the ethical implications of AI and ML, highlighting the need for responsible use and development of these technologies. One of the key themes of the book is the idea that AI and ML are not just technical fields, but also social and cultural ones. The author examines the ways in which these technologies have been shaped by societal needs and values, and how they have influenced society in turn. For example, he discusses the impact of AI on employment, education, and healthcare, as well as the potential for AI to exacerbate existing social inequalities.
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