 | Natural Language Processing in Action, Second Edition (2025) by Lane, Hobson, Dyshel, Maria |
 | 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 |
 | Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023) by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat |
 | 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 |
 | Natural Language Processing with Transformers, Revised Edition (2022) by Tunstall, Lewis, Werra, Leandro von, Wolf, Thomas |
 | 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 |
 | Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems (2020) by Vajjala, Sowmya, Majumder, Bodhisattwa, Gupta, Anuj, Surana, Harshit |
 | Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series) (2019) by Eisenstein, Jacob |
 | 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 |
 | Foundations of Statistical Natural Language Processing (1999) by Christopher D. Manning, Hinrich Schütze |