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 | Eloquent JavaScript, 4th Edition (2024) by Haverbeke, Marijn |
 | JavaScript Crash Course: A Hands-On, Project-Based Introduction to Programming (2024) by Morgan, Nick |
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 | JavaScript All-in-One For Dummies (2023) by Minnick, Chris |
 | JavaScript Everywhere: Building Cross-Platform Applications with GraphQL, React, React Native, and Electron (2020) by Scott, Adam D. |
 | Creating NPM Package: Your React JavaScript Guide to Create, Test, and Publish NPM Libraries (2024) by Sofela, Oluwatobi, CodeSweetly |
 | JavaScript: The Comprehensive Guide to Learning Professional JavaScript Programming (Rheinwerk Computing) (2022) by Ackermann, Philip |
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 | 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 |
 | JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language (2020) by Flanagan, David |
 | TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models (2021) by Tung, KC |
 | Eloquent JavaScript, 3rd Edition: A Modern Introduction to Programming (2018) by Haverbeke, Marijn |
 | Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020) by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael |
 | TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers (2020) by Warden, Pete, Situnayake, Daniel |
 | Machine Learning Algorithms in Depth (2025) by Smolyakov, Vadim |
 | JavaScript from Beginner to Professional: Learn JavaScript quickly by building fun, interactive, and dynamic web apps, games, and pages (2021) by Laurence Lars Svekis, Maaike van Putten, Rob Percival |
 | 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 |
 | Learning TensorFlow: A Guide to Building Deep Learning Systems (2017) by Hope, Tom, Resheff, Yehezkel S., Lieder, Itay |
 | Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition (2022) by Amita Kapoor, Antonio Gulli, Sujit Pal |
 | 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 |