Machine Learning Algorithms Explained

Plain‑language intuition for the most common ML algorithms.

Regression

Start with linear/logistic regression as interpretable baselines.

Trees & Ensembles

Random forests and gradient boosting are robust defaults for tabular data.

Neural Nets

Great for perception and language; results depend on data quality and evaluation.

---

← All posts