AI and Machine Learning for Coders
Nov 3, 2025
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1 min read
A hands-on intro for developers: train models, tune hyperparameters, and integrate ML into apps without a PhD. Ideal for platform engineers adding intelligence to workflows.
Laurence Moroney
O'Reilly Media, 2020
ISBN 9781492078197
Who This Is For:
Platform and backend engineers adding ML to workflows, DevOps, and product features.
Resources & Links
AI and ML for Coders gets you shipping models—no PhD required, just Python, TensorFlow, and iteration.
Who This Is For
Backend and platform engineers who want to add ML capabilities to products, workflows, and ops without deep math backgrounds.
Key Takeaways
- Start with transfer learning and pre-trained models to ship faster.
- Feature engineering and clean data matter more than complex architectures.
- Treat ML like software: version data, test predictions, monitor drift.
- Deploy small, measure impact, and iterate based on real user feedback.
- Use TensorFlow Lite or serverless for production inference at scale.
Authors
Payments Engineer · AI · Infrastructure
I’m a payments & POS engineer who knows the whole stack, from CPU to customer support, and I bring AI into the toolchain end to end: using, building, and maintaining it in production. 12+ years in production payment systems, running on the quiet infrastructure that has to work at 3am whether I’m awake or not.