In the modern coding landscape, the divide between "software developer" and "machine learning engineer" is rapidly disappearing. Whether you are a backend developer looking to integrate a recommendation engine, a frontend specialist curious about TensorFlow.js, or a DevOps pro automating anomaly detection, you need a practical, code-first approach to AI.
: Laurence Moroney (lmoroney) maintains several key repositories on
References_Books/ai-machine-learning-coders-programmers. pdf at master · iamindian/References_Books · GitHub. shujchen-oracle/ai-and-machine-learning-for-coders-pytorch
Companion Sites: Many GitHub users create personal "follow-along" repositories (e.g., lavigneer/ai-for-coders-book) where they share their own notes and solutions based on the book's content. Laurence Moroney lmoroney - GitHub
👉 https://github.com/moroney/ml-for-coders
: Putting models into production across cloud and embedded platforms. Gleeson Library step-by-step roadmap