Glossary For Isye 6501 Introduction To Analytics Modeling Newest 2024-2025 Actual Questions And Verified Solutions

GLOSSARY FOR ISYE 6501 INTRODUCTION TO ANALYTICS MODELING NEWEST 2024-2025 ACTUAL QUESTIONS AND VERIFIED SOLUTIONS|ALREADY GRADED A+ 100%TUTOR VERIFIED Algorithm - ANSWER-Step-by-step procedure designed to carry out a task. Change detection - ANSWER-Identifying when a significant change has taken place in a process. Classification - ANSWER-The separation of data into two or more categories. Classifier - ANSWER-An algorithm that performs classification. Cluster - ANSWER-A group of points identified as near/similar to each other. Cluster center - ANSWER-The central point of a cluster of data points. Clustering - ANSWER-Separation of data points into groups based on nearness/similarity to each other. CUSUM - ANSWER-Change detection method that compares observed distribution mean with a threshold level of change.Deep learning - ANSWER-Neural network-type model with many hidden layers. Dimension - ANSWER-A feature of the data points. EM algorithm - ANSWER-Expectation-maximization algorithm. Expectation-maximization algorithm - ANSWER-Algorithm with two steps, one that finds the function for the expected likelihood of getting the response given current parameters, and one that finds new parameter values to maximize that probability. Heuristic - ANSWER-Algorithm that is not guaranteed to find the absolute best solution. k-means algorithm - ANSWER-Clustering algorithm that defines k clusters of data points. k-Nearest-Neighbor (KNN) - ANSWER-Classification