 | Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025) by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale |
 | AI for Everyday IT: Accelerate workplace productivity (2025) by LeMaire, Chrissy, Abshire, Brandon |
 | The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025) by Caldwell, Thomas R. |
 | Machine Learning Algorithms in Depth (2025) by Smolyakov, Vadim |
 | AI Engineering: Building Applications with Foundation Models (2025) by Huyen, Chip |
 | Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition) (2024) by Kumar, Abhishek |
 | Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023) by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat |
 | Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses (2023) by Duca, Angelica Lo, Meehan, Tim, Bharathan, Vivek, Su, Ying |
 | Machine Learning System Design Interview (2023) by Aminian, Ali, Xu, Alex |
 | Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically (2022) by Prosise, Jeff |
 | Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (2022) by Huyen, Chip |
 | Machine Learning Engineering in Action (2022) by Wilson, Ben |
 | Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020) by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael |
 | AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020) by Moroney, Laurence |
 | Presto: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment (2020) by Fuller, Matt, Moser, Manfred, Traverso, Martin |
 | Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition (2018) by Bhatia, AshishSingh, Kaluza, Bostjan |