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Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Author: Aurélien Géron
Title: Practical MLOps: Operationalizing Machine Learning Models, Author: Noah Gift
Title: Deep Learning, Author: Ian Goodfellow
Title: Understanding Deep Learning, Author: Simon J.D. Prince
Title: Reinforcement Learning, second edition: An Introduction, Author: Richard S. Sutton
Title: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, Author: Chip Huyen
Title: Kernel Methods for Pattern Analysis, Author: John Shawe-Taylor
Title: The Developer's Playbook for Large Language Model Security: Building Secure AI Applications, Author: Steve Wilson
Title: Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment, Author: David R. Martinez
Title: Deep Learning for Coders with fastai and PyTorch, Author: Jeremy Howard
Title: Hands-On Large Language Models: Language Understanding and Generation, Author: Jay Alammar
Title: Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python, Author: Sam Lau
Title: Hands-On Generative AI with Transformers and Diffusion Models, Author: Omar Sanseviero
Title: Supervised Learning: Mathematical Foundations and Real-world Applications, Author: Dalia Chakrabarty
Title: CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects, Author: Dan A Simovici
Title: Finance Transformation: Leadership on Digital Transformation and Disruptive Innovation, Author: Aikta Varma
Title: MACHINE LEARNING IN PURE MATHEMATICS AND THEORETICAL PHYSICS, Author: Yang-Hui He
Title: AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications, Author: Sita Rani
Title: Introducing MLOps, Author: Mark Treveil

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