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by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale |
 | AI for Everyday IT: Accelerate workplace productivity (2025)
by LeMaire, Chrissy, Abshire, Brandon |
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by Caldwell, Thomas R. |
 | Spring Boot 3 API Mastery: Write scalable, reactive, and secure APIs for microservices with Spring Boot 3 and Java 21 (English Edition) (2025)
by Racca, Vincenzo |
 | 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 |
 | Modern API Development with Spring 6 and Spring Boot 3: Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3 (2023)
by Sharma, Sourabh |
 | 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 |
 | Mastering API Architecture: Design, Operate, and Evolve API-Based Systems (2022)
by Gough, James, Bryant, Daniel, Auburn, Matthew |
 | Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition (2022)
by Kapoor, Amita, Gulli, Antonio, Pal, Sujit, Chollet, Francois |
 | Hacking APIs: Breaking Web Application Programming Interfaces (2022)
by Ball, Corey J. |
 | Designing APIs with Swagger and OpenAPI (2022)
by Ponelat, Joshua S., Rosenstock, Lukas L. |
 | Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (2022)
by Huyen, Chip |
 | Machine Learning Engineering in Action (2022)
by Wilson, Ben |
 | API Design Patterns (2022)
by JJ Geewax, Sarah Dawe, Manning Publications |
 | TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models (2021)
by Tung, KC |
 | 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 |
 | TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers (2020)
by Warden, Pete, Situnayake, Daniel |
 | 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 |
 | Learning TensorFlow: A Guide to Building Deep Learning Systems (2017)
by Hope, Tom, Resheff, Yehezkel S., Lieder, Itay |
 | Practical API Design: Confessions of a Java Framework Architect (2008)
by Tulach, Jaroslav |
