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Introduction to AI-Driven Data Models: Foundations of AI-Driven Models
Abstract
A key component in modern technology, artificial intelligence (AI) is changing industries, promoting scientific research, and influencing social interactions. Fundamentally, artificial intelligence (AI) is the development of systems that simulate human intelligence, allowing machines to carry out operations like learning, reasoning, problem-solving, and decision-making. These capabilities are powered by AI-driven models, which process large datasets to find patterns, forecast outcomes, or carry out actions with little assistance from humans. These models, which have an impact on industries like healthcare, finance, education, transportation, and urban planning, range from straightforward algorithms like linear regression to intricate deep learning architectures. AI models, for instance, help with traffic flow optimization in smart cities and disease diagnosis from medical images. By examining their historical development, fundamental paradigms, important algorithms, mathematical foundations, and development processes, this chapter offers a fundamental understanding of AI-driven model
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