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Informatica Informatica Databases

 

Boekhandel Douwes Den Haag

Statistics and Data Foundations for AI

Geetha Murthy & Tamraparni Dasu

Statistics and Data Foundations for AI

Statistics and Data Foundations for AI

Statistics and Data Foundations for AI

Verschijnt binnenkort

 

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.

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Beschrijving Statistics and Data Foundations for AI

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.

ISBN
9781041006411
Pagina's
252
Verschijnt
Rubriek
Databases
Druk
1
Uitvoering
Paperback
Taal
Engels
Uitgever
Taylor & Francis Ltd

Statistics and Data Foundations for AI

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.

AI for Forensics and Biometric Applications

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.

Innovations in Data Analytics

This book presents a curated collection of peer-reviewed research papers from the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), held at Eminent College of Management & Technology (ECMT), India, in collaboration with the International Knowledge Research Foundation, on 5–6 December 2025.

Databases

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