Which algorithm is often used in solving linear optimization problems involving large datasets?K-means clusteringSimplex algorithmDecision tree algorithmNaive Bayes

Which algorithm is known for finding optimal solutions by iteratively minimizing a cost function?Group of answer choicesDecision TreeGradient DescentRandom ForestSupport Vector Machine

Which of the following algorithms is commonly used for hierarchical clustering?Agglomerative clusteringExpectation-Maximization (EM)DBSCANK-Means

Which of the following is NOT a common method for data classification?Naive BayesK-Means ClusteringDecision TreesRegression Analysis

Which algorithm is known for finding optimal solutions by iteratively minimizing a cost function?

What is the perceptron algorithm used for? Clustering data points Classifying data Solving optimization problems Finding the shortest path in a graph