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Название: Artificial Intelligence: Beyond Classical AI
Автор: Reema Thareja
Издательство: Pearson
Год: 2024
Страниц: 881
Язык: английский
Формат: epub
Размер: 20.9 MB
Pearson’s Artificial Intelligence encompasses a comprehensive text on the fundamental principles and concepts of Artificial Intelligence—a new-age technology that fuels the much-coveted ‘Industry 4.0’. Presented in lucid English, this book covers all the basic concepts, enriched with latest examples. It also discusses all the major components of AI, such as Neural Networks, Natural Language Processing, Reinforcement Learning, Machine Learning, Deep Learning and Computer Vision. The book is a deliberation of classical as well modern AI techniques and related technologies that provides readers with an overall knowledge and understanding of AI in present-day context. Few languages that are popularly used to code AI applications are R, Python and Java. From a layman’s view, artificial intelligence (AI), simply means the intelligence demonstrated by machines that help them to mimic the actions of humans. AI simulates natural intelligence in machines that are programmed to learn from experiences, adjust to new inputs and perform human-like tasks. From a researcher’s view, AI is a set of algorithms that generates results without having to be explicitly instructed to do so, thereby making machines capable of thinking and acting rationally and humanely. Most AI examples, from chess-playing computers to self-driving cars, heavily depend on Deep Learning and natural language processing (NLP) techniques. Majority of AI systems are supported by breakthroughs in Machine Learning and Deep Learning techniques. These techniques together go hand-in-hand to deliver an efficient system that sometimes it is just difficult to understand the difference between Artificial Intelligence (AI), Machine Learning and Deep Learning. Book focusses on practical implementation of key algorithms using Python programming language that help students gain hands-on experience
Автор: Reema Thareja
Издательство: Pearson
Год: 2024
Страниц: 881
Язык: английский
Формат: epub
Размер: 20.9 MB
Pearson’s Artificial Intelligence encompasses a comprehensive text on the fundamental principles and concepts of Artificial Intelligence—a new-age technology that fuels the much-coveted ‘Industry 4.0’. Presented in lucid English, this book covers all the basic concepts, enriched with latest examples. It also discusses all the major components of AI, such as Neural Networks, Natural Language Processing, Reinforcement Learning, Machine Learning, Deep Learning and Computer Vision. The book is a deliberation of classical as well modern AI techniques and related technologies that provides readers with an overall knowledge and understanding of AI in present-day context. Few languages that are popularly used to code AI applications are R, Python and Java. From a layman’s view, artificial intelligence (AI), simply means the intelligence demonstrated by machines that help them to mimic the actions of humans. AI simulates natural intelligence in machines that are programmed to learn from experiences, adjust to new inputs and perform human-like tasks. From a researcher’s view, AI is a set of algorithms that generates results without having to be explicitly instructed to do so, thereby making machines capable of thinking and acting rationally and humanely. Most AI examples, from chess-playing computers to self-driving cars, heavily depend on Deep Learning and natural language processing (NLP) techniques. Majority of AI systems are supported by breakthroughs in Machine Learning and Deep Learning techniques. These techniques together go hand-in-hand to deliver an efficient system that sometimes it is just difficult to understand the difference between Artificial Intelligence (AI), Machine Learning and Deep Learning. Book focusses on practical implementation of key algorithms using Python programming language that help students gain hands-on experience