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Kakulapati V Pattern Analysis Of Personality Dimensions Using AI 2024
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This book explores real-world uses of Artificial Intelligence (AI) for the interpretation of behavioral patterns, and how behavior may have a significant influence on a person's actions, choices and personality. It also discusses problems with AI, as well as its various uses, such as controlling diseases that affect millions of people. The book serves as a succinct introduction to new notions and theories that may be discovered at the nexus of AI and modern personality analysis. Subjects such as Deep Learning, deep neural networks, and meteorological applications are discussed, making this book perfect for Artificial Intelligence data scientists, business executives, academics, practitioners, instructors, and students. AI is a field within Computer Science that often aims to mimic human intelligence via computational processes and technological systems. In an oversimplification, data are provided as input to the AI system, the AI program analyzes this data, identifies patterns using a suite of programmed rules called algorithms, and then “responds” based on the output of the algorithms. Although humans can analyze and find patterns in data, computers can analyze and process vast amounts of data before a human could finish entering a small subset of that data into an Excel workbook. Further, recently developed AI technologies suggest these systems identify knowledge about the natural world in ways uniquely different from how humans think and generate knowledge. Using AI, we can analyze human behavior in real-time, identify speech irregularities, and allow robotic imitation of human actions. Applications of advanced Machine Learning include forecasting behavioral patterns, illness, and emotional states. Electroencephalograms (EEGs) have been used to monitor health, forecast illness, and diagnose mental health issues
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Kakulapati V. Pattern Analysis of Personality Dimensions Using AI 2024.pdf
