Core Technologies of Artificial Intelligence by Lynn Walker (.PDF)
File Size: 13.6 MB
Core Technologies of Artificial Intelligence (Artificial Intelligence Fundamentals Book 2) by Lynn Walker
Requirements: .PDF reader, 13.6 MB
Overview: Unlock the transformative potential of Artificial Intelligence with “Core Technologies of Artificial Intelligence.” This comprehensive guide demystifies the intricate world of AI, offering readers an in-depth understanding of the fundamental technologies driving this revolutionary field. Perfect for students, professionals, and AI enthusiasts, this book provides a structured learning path from basic concepts to advanced methodologies. Explore essential topics such as Machine Learning, Deep Learning, natural language processing (NLP), AI in robotics, and the latest advancements like quantum computing and neuromorphic engineering. Each chapter is meticulously designed to build on the previous one, ensuring a cohesive and engaging learning experience. Key Features: Advanced Machine Learning Techniques: Master complex methods, including ensemble methods, feature engineering, and model optimization; Deep Learning Architectures: Gain expertise in deep learning models such as CNNs, RNNs, Transformers, Autoencoders, and GANs; Natural Language Processing: Understand advanced NLP methodologies, from sentiment analysis to speech recognition technologies.
Genre: Non-Fiction > Tech & Devices
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