An interdisciplinary approach to statistical concepts and data foundations of AI with real-world illustrative examples from authoritative sources such as NASA, NOAA and the US Census Bureau. Co-authored by a data science research expert and an experienced educator, the book serves as a prequel to an AI and machine learning course.
An interdisciplinary approach to statistical concepts and data foundations of AI with real-world illustrative examples from authoritative sources such as NASA, NOAA and the US Census Bureau. Co-authored by a data science research expert and an experienced educator, the book serves as a prequel to an AI and machine learning course.
They cover topics such as forensic fire detection in collaborative intelligent environments, near-term quantum machine learning for face recognition, iris presentation attack detection using fine-tuned deep models, voice-based security systems, and explainable AI-enabled decision support.
