In the scenario above, which type of Machine Learning (ML) is this an example of?

A software component uses machine learning to recognize the digits from a scan of handwritten numbers.

In the scenario above, which type of Machine Learning (ML) is this an example of? SELECT ONE OPTION
A . Reinforcement learning
B . Regression
C . Classification
D . Clustering

Answer: C

Explanation:

Recognizing digits from a scan of handwritten numbers using machine learning is an example of classification.

Here’s a breakdown:

Classification: This type of machine learning involves categorizing input data into predefined classes.

In this scenario, the input data (handwritten digits) are classified into one of the 10 digit classes (0-9).

Why Not Other Options:

Reinforcement Learning: This involves learning by interacting with an environment to achieve a goal, which does not fit the problem of recognizing digits.

Regression: This is used for predicting continuous values, not discrete categories like digit recognition.

Clustering: This involves grouping similar data points together without predefined classes, which is not the case here.

Reference: The explanation is based on the definitions of different machine learning types as outlined in the ISTQB CT-AI syllabus, specifically under supervised learning and classification​.

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