Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
8 articles in AI & Machine Learning
Why Traditional Logs Are Not Enough
AI agents execute tool loops, make multiple model calls, and change state across iterations. Traditional application logs that record "task…
The Sequence Modeling Problem
Key Takeaway Transformers process all tokens simultaneously using self-attention — a mechanism that lets every token compute how much it sh…
Beginner Projects (1-5)
The best data science portfolio isn't 20 notebooks that all do the same thing. It's 20 projects that progressively build skills — from load…
Quantum Machine Learning Explained
Key Takeaway --> Quantum machine learning combines classical data processing with quantum circuit layers. It is NOT faster classical ML --…
Explainable AI for Data Scientists: SHAP, LIME and Feature Importance
Key Takeaway --> Black-box models make accurate predictions but cannot explain why. SHAP provides game-theoretic feature attributions. LIM…
Imbalanced Datasets: Practical Machine Learning Techniques
Key Takeaway --> Imbalanced datasets cause models to ignore the minority class. Fix this with oversampling, undersampling, SMOTE, class we…
Model Evaluation Beyond Accuracy
Key Takeaway --> Accuracy is misleading for imbalanced datasets. A model that predicts "no fraud" for all transactions achieves 99% accura…
Train, Validation and Test Sets Explained Properly
Key Takeaway --> Machine learning requires three separate datasets: training (to learn), validation (to tune), and test (to evaluate). Spl…