Our own Machinelearning suite
 | Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023)
by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat |
 | 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 |
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 | Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020)
by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael |
 | Machine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim |
 | 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 |
 | Machine Learning System Design Interview (2023)
by Aminian, Ali, Xu, Alex |
 | Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition (2018)
by AshishSingh Bhatia, Bostjan Kaluza |
