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Iโm thrilled to announce that my first premium notebook series is now available for purchase:
“Anomaly Detection โ From Exploration to Deployment”
This hands-on series takes you through the full process of building a real anomaly detection system. You will use the AITEX fabric dataset, which is much more challenging than typical academic benchmarks like MVTec.
What Youโll Learn
This isnโt just another toy notebook. Itโs a complete deep dive into practical anomaly detection:
- โ Tackling low-fidelity industrial data where defects are subtle and irregular
- ๐ Exploring three key methods:
- Variational Autoencoders (VAE)
- PatchCore
- DRAEM (the one that solved the task!)
- ๐งช Pixel-wise and image-level evaluation with real metrics and visuals
- โ๏ธ A full inference and suppression pipeline, ready for real-world deployment
- ๐ Insights that go beyond theory. From experimentation to operationalization
Whether you’re building anomaly detectors for manufacturing, research, or productization this series is designed to teach you not just what works, but why.
Introductory Price: 99โฏโฌ (instead of 149โฏโฌ)
To celebrate the release, Iโm offering the full notebook series at an introductory price of just 99โฏโฌ.
No fluff, no locked sections just clear, high-quality, reproducible code and explanations from start to finish.
๐ฎ Whatโs Next?
This is just the beginning.
More premium notebook series are already in the works, including:
- Recommendation Systems: matrix factorization, embeddings, and transformers
- Deep Reinforcement Learning: agents, training loops, and real-time environments
All in the same step-by-step, transparent format. Focused on practical ML you can actually build with.
๐ Thank You
If youโve made it this far, thank you for your curiosity, your time, and your willingness to learn with me.
This project was a joy to create, and I hope it helps you deepen your skills, build real projects, and enjoy the journey as much as I did.
Let me know what you think and stay tuned for more.