model evaluation Archives

How to train an AI model diagram showing data, compute, evaluation, and deployment stages

by Sanksshep Mahendra Updated October 1, 2026 at 9:06 am

AI

How to Train an AI

Why it matters: How to train an AI in 2026: full pipeline, data, compute, fine-tuning, LoRA, RLHF, MLOps, risks, regulation, and future trends explained end to end.

Precision-recall curve plotting precision against recall across decision thresholds for an imbalanced machine learning classifier.

by Sanksshep Mahendra Updated May 30, 2026 at 6:22 pm

AI

Precision-Recall Curve

Why it matters: A working guide to the precision-recall curve: read it, plot it in Python, choose a threshold, and know exactly where it misleads you.

Diagram illustrating how to use cross validation to reduce overfitting with k-fold, stratified k-fold, and nested cross-validation in scikit-learn.

by Sanksshep Mahendra Updated August 11, 2026 at 11:41 am

AI

How To Use Cross Validation to Reduce Overfitting

Why it matters: Master cross-validation to reduce overfitting with k-fold, stratified, nested and time-series techniques plus runnable scikit-learn code examples.