Prep With 20 Machine Learning Interview Questions And Answers

Supervised and unsupervised machine learning are two types of algorithms used in AI. Supervised algorithms use labeled data, while unsupervised algorithms use unlabeled data. Semi-supervised learning is a combination of both methods. Machine learning bias is when an algorithm produces prejudiced results due to oversimplification, and variance is error due to overcomplexity in a learning algorithm. The relationship between these two terms is sometimes framed as the “bias-variance dilemma” or the “bias-variance tradeoff”.