Question 41 · 417 in bank
HOTSPOT - A company wants to develop ML applications to improve business operations and efficiency. Select the correct ML paradigm from the following list for each use case. Each ML paradigm should be selected one or more times.
This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.
Show the answer figure
Answer: See figure below
Explanation
Binary classification Supervised learning (Binary classification involves predicting one of two classes, and it requires labeled data for training.) Multi-class classification Supervised learning (Multi-class classification involves predicting one of multiple classes, and it also requires labeled data for training.) K-means clustering Unsupervised learning (K-means clustering is a technique used to group data into clusters without labeled data, making it an unsupervised learning method.) Dimensionality reduction Unsupervised learning (Dimensionality reduction techniques, such as PCA (Principal Component Analysis), are used to reduce the number of features in a dataset without labeled data, making it unsupervised.)
Source: Adapted from community discussion — Jessiii
