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Foundations of Machine Learning
Hands-On Large Language Models: Language Understanding and Generation
Designing Large Language Model Applications: A Holistic Approach to LLMs
Classical Machine Learning: A Practical Guide Using Python
Principles of Database Management
Deep Learning Architectures: A Mathematical Approach
Reinforcement Learning: An Introduction
Swarm Intelligence: Recent Advances, New Perspectives and Applications
Advances and Applications in Deep Learning
Bitcoin: A Game-Theoretic Analysis
Social Robots and Cultural Sustainability
Generative AI and LLMs: Natural Language Processing and Generative Adversarial Networks
Probabilistic Machine Learning: An Introduction
Applied Data Science: Lessons Learned for the Data-Driven Business
Mathematics for Machine Learning
Deep Learning for Hyperspectral Image Analysis and Classification
Large Vision-Language Models: Pre-training, Prompting, and Applications
New Analysis and Modeling Directions in Social Interaction Science: Emergent Multimodal ...