Discover why image classification is a prime example of a supervised learning task, where models learn to map image data to predefined class labels through training on labeled datasets.
Table of Contents
Question
Which of the following is an example of a supervised learning task?
A. Image classication.
B. Anomaly detection.
C. Quantum computing.
Answer
A. Image classication.
Explanation
Image classification is a classic example of a supervised learning task in machine learning.
Supervised learning involves training a model on labeled data, where the inputs are mapped to known outputs. Image classification is a typical supervised learning task, where the model learns to associate image data with predefined class labels (e.g., cat, dog, car).
B. Anomaly detection can be either supervised or unsupervised, depending on the approach. In supervised anomaly detection, the model is trained on labeled data containing both normal and anomalous instances. Unsupervised anomaly detection algorithms, on the other hand, learn the patterns of normal data without explicit labels and identify deviations as anomalies.
C. Quantum computing is not a machine learning task but rather a computing paradigm that utilizes quantum-mechanical phenomena to perform computations.
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