Title: Designing Large Language Model Applications: A Holistic Approach to LLMs, Author: Suhas Pai
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: Application of Advanced Optimization Techniques for Healthcare Analytics, Author: Mohamed Abdel-Basset
Title: Building Knowledge Graphs: A Practitioner's Guide, Author: Jesus Barrasa
Title: Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling, Author: Akshara Makrariya
Title: Federated Learning: Unlocking the Power of Collaborative Intelligence, Author: M. Irfan Uddin
Title: FEDERATED LEARNING: FROM ALGORITHMS TO SYSTEM IMPLEMENTATION: From Algorithms to System Implementation, Author: Liefeng Bo
Title: Knowledge Discovery with Support Vector Machines, Author: Lutz H. Hamel
Title: Data Governance: The Definitive Guide, Author: Evren Eryurek
Title: Handbook of Research on Machine Learning: Foundations and Applications, Author: Monika Mangla

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