Week 1-Questions Set-1
Untitled13 Top 40 Machine Learning & LLM Interview Questions and Answers ¶ Machine Learning Fundamentals ¶ 1. What are the key differences between supervised and unsupervised learning? Supervised learning uses labeled data to train models that map inputs to specified outputs, while unsupervised learning works with unlabeled data to identify patterns and structures. The main distinctions include: Data requirements: Supervised needs labeled data, unsupervised doesn't Tasks: Supervised focuses on prediction, unsupervised on pattern discovery Modeling approach: Supervised learns mapping functions, unsupervised describes underlying structures Common techniques: Supervised uses classification/regression, unsupervised uses clustering/dimensionality reduction[1][2] 2. What are the main types of unsupervised learning techniques? There are two primary techniques in unsupervised learning: Clustering: Divides data into subsets (clusters) containing simil...