A coin classification system is created for a vending machine. An algorithm is presented with a large dataset containing images of coins which are labeled. The algorithm uses this data to learn decision boundaries that allow the vending machine to then classify each coin. O Supervised Learning Not a machine learning scenario Unsupervised Learning Reinforcement Learning

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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What types of Machine Learning, if any, best describe the following scenario:
A coin classification system is created for a vending machine. An algorithm is
presented with a large dataset containing images of coins which are labeled. The
algorithm uses this data to learn decision boundaries that allow the vending
machine to then classify each coin.
O Supervised Learning
O Not a machine learning scenario
O Unsupervised Learning
O Reinforcement Learning
Transcribed Image Text:What types of Machine Learning, if any, best describe the following scenario: A coin classification system is created for a vending machine. An algorithm is presented with a large dataset containing images of coins which are labeled. The algorithm uses this data to learn decision boundaries that allow the vending machine to then classify each coin. O Supervised Learning O Not a machine learning scenario O Unsupervised Learning O Reinforcement Learning
What types of Machine Learning, if any, best describe the following scenario:
A coin classification system is created for a vending machine. The developers
obtain exact coin specifications from the U.S. Mint and derive a statistical mode
of the size, weight, and denomination, which the vending machine then uses to
classify coins.
O Unsupervised Learning
Not a machine learning scenario
Reinforcement Learning
O Supervised Learning
Transcribed Image Text:What types of Machine Learning, if any, best describe the following scenario: A coin classification system is created for a vending machine. The developers obtain exact coin specifications from the U.S. Mint and derive a statistical mode of the size, weight, and denomination, which the vending machine then uses to classify coins. O Unsupervised Learning Not a machine learning scenario Reinforcement Learning O Supervised Learning
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