AI-Centric Modeling and Analytics by Alex Khang (.PDF)

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File Size: 30.5 MB

AI-Centric Modeling and Analytics; Concepts, Technologies, and Applications by Alex Khang, Vugar Abdullayev, Babasaheb Jadhav, Shashi Kant Gupta
Requirements: .PDF reader, 30.5 MB
Overview: This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, Machine Learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. AI is not only a buzzword or any special feature of Computer Science; it collaborates with other computer science areas, such as ML, Deep Learning, Big Data analytics, and natural language processing (NLP). Artificial Intelligence uses multiple programming languages and supports multiple tools to record data as well as to build an algorithm to create a model based on data.
Genre: Non-Fiction > Tech & Devices

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