variance

In machine learning, there’s a delicate balancing act between bias and variance. Get it wrong, and your model either misses patterns (underfitting) or memorizes noise (overfitting). Finding the sweet spot between the two is key to building models that generalize well. Let’s break it down and explore how techniques like Read more…