Advanced Machine Learning Models for High Volume Data Processing in IOT Analytics
Dr. Krishna Kumar L, Nabeel Rahi Mashkoor, Mohit Tiwari, Zahraa Aqeel Adel Jassim
Indexed In: Google Scholar
Release Date: 08/08/2024 | Copyright:© 2024 | Pages: 400
DOI: 10.71443/9788197282102
ISBN10: 8197282102 | ISBN13: 9788197282102
The book Introduction to Artificial Intelligence delves into the development, key concepts, and applications of AI. Starting from its theoretical foundations, it highlights the contributions of pioneers like Alan Turing and John McCarthy and traces AI’s evolution from symbolic AI to modern machine learning. The initial chapters focus on AI history, computational models, and early systems such as expert systems, Logic Theorist, and the General Problem Solver.
This book aims to provide comprehensive coverage of statistical and numerical methods essential for data analysis, engineering computations, and scientific research. It explores fundamental concepts in probability distributions, hypothesis testing, and statistical inference, ensuring a solid understanding of key statistical principles. The numerical methods sections delve into solving equations, integration, differentiation, and estimation theory, with practical applications in various fields. Emphasizing both theoretical foundations and practical implementation, the book equips readers with essential tools to solve real-world problems using statistical and numerical techniques. The target audience includes students, researchers, and professionals in mathematics, engineering, and applied sciences.
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