8 citations · 27 across the 18 of their papers we have counts for
4 papers · 1 filter
Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
Keyu Chen, Cheng Fei, Ziqian Bi +23
With a focus on natural language processing (NLP) and the role of large language models (LLMs), we explore the intersection of machine learning, deep learning, and artificial intel…
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
Pohsun Feng, Ziqian Bi, Yizhu Wen +14
Artificial intelligence (AI), machine learning, and deep learning have become transformative forces in big data analytics and management, enabling groundbreaking advancements acros…
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming
Tianyang Wang, Ziqian Bi, Keyu Chen +12
Object-Oriented Programming (OOP) has become a crucial paradigm for managing the growing complexity of modern software systems, particularly in fields like machine learning, deep l…
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
Benji Peng, Xuanhe Pan, Yizhu Wen +13
This book explores the role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in driving the progress of big data analytics and management. The book fo…