Bias-Variance Trade-off

Sep 23, 20243 min read3 views

In machine learning, the bias-variance trade-off is a fundamental concept used to evaluate the performance of a model. It helps explain the sources of...

k nearest neighbor regression

Sep 22, 20243 min read5 views

LengthWeightCost 101545 11637 121448 7933 91438 81240 61135 151050 14846 71235 10636 13844 9732 5830 51030 Dataset for K-NN...

Bias in k-NN classifier

Sep 20, 20242 min read5 views

In the case of K-nearest neighbors (KNN) classifiers, the bias typically increases as the value of K increases. Here's why: When K is small (e.g.,...

Policy in Reinforcement Learning

Sep 18, 20241 min read2 views

In reinforcement learning, a policy is a function or strategy that determines the action an agent should take given a particular state. It essentially...

Overfitting and Training Error

Sep 18, 20241 min read3 views

Here is a 2-dimensional plot showing two functions that classify data points into two classes. The red points belong to one class, and the green...

Regression Vs Classification

Sep 18, 20242 min read2 views

Example of regression: Predicting the weight of a giraffe based on its height Predict the runs a cricketer will score in a particular...