Artificial Intelligence from A to Z (eBook, ePUB)
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Artificial Intelligence from A to Z explores the vast realm of AI, taking readers on a journey from its evolution to future advancements. We delve into the development of AI to replicate human intelligence through disciplines like Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering.This book focuses on creating intelligent systems capable of reasoning, learning, and problem-solving.We cover the science and engineering behind making intelligent machines, examining how AI mimics human intelligence without being restricted to biological methods. Starting with the evol...
Artificial Intelligence from A to Z explores the vast realm of AI, taking readers on a journey from its evolution to future advancements. We delve into the development of AI to replicate human intelligence through disciplines like Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering.
This book focuses on creating intelligent systems capable of reasoning, learning, and problem-solving.
We cover the science and engineering behind making intelligent machines, examining how AI mimics human intelligence without being restricted to biological methods. Starting with the evolution of AI in Chapter 1, we discuss problem-solving methods and search strategies in Chapter 2. Chapter 3 focuses on knowledge representation and reasoning, essential for complex tasks such as medical diagnosis and natural language dialogue.
Subsequent chapters elaborate on different learning types, the role of robotics in AI, and the significance of Natural Language Processing (NLP). We explain machine learning and explore the ethical, legal, and practical considerations in AI. We also highlight future enhancements and applications, showcasing AI's transformative potential.
By the end of this book, readers will gain a comprehensive understanding of AI concepts and their practical implementations, paving the way for successful careers in this dynamic field.
This book focuses on creating intelligent systems capable of reasoning, learning, and problem-solving.
We cover the science and engineering behind making intelligent machines, examining how AI mimics human intelligence without being restricted to biological methods. Starting with the evolution of AI in Chapter 1, we discuss problem-solving methods and search strategies in Chapter 2. Chapter 3 focuses on knowledge representation and reasoning, essential for complex tasks such as medical diagnosis and natural language dialogue.
Subsequent chapters elaborate on different learning types, the role of robotics in AI, and the significance of Natural Language Processing (NLP). We explain machine learning and explore the ethical, legal, and practical considerations in AI. We also highlight future enhancements and applications, showcasing AI's transformative potential.
By the end of this book, readers will gain a comprehensive understanding of AI concepts and their practical implementations, paving the way for successful careers in this dynamic field.
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