Machine learning is different from traditional programming as it _________.learns from datais based on fixed rulesis manually determined and programmedrequires manual input
Question
Machine learning is different from traditional programming as it _________.learns from datais based on fixed rulesis manually determined and programmedrequires manual input
Solution 1
Machine learning is different from traditional programming as it learns from data.
In traditional programming, developers write specific instructions or rules for the program to follow. The program then executes these instructions to produce a result.
On the other hand, machine learning algorithms are designed to learn from and make predictions or decisions based on data. They are not explicitly programmed to perform a specific task. Instead, they adjust their performance based on the data they are given. This allows machine learning algorithms to improve over time as they are exposed to more data.
Solution 2
Machine learning is different from traditional programming as it learns from data. Unlike traditional programming which is based on fixed rules, manually determined and programmed, and requires manual input, machine learning algorithms improve automatically through experience. They are designed to analyze data, learn from it, and then make predictions or decisions, without being explicitly programmed to perform the task.
Solution 3
The correct answer is "learns from data".
Here's why:
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Traditional programming is based on fixed rules: In traditional programming, developers write specific instructions or rules for the computer to follow. The computer then executes these rules to produce an output.
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Machine learning learns from data: Unlike traditional programming, machine learning algorithms learn from data. They are designed to improve their performance as the amount of data they are exposed to increases. This means that they can make predictions or decisions without being explicitly programmed to perform the task.
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Traditional programming is manually determined and programmed: This is similar to the first point. In traditional programming, the rules are manually determined and programmed by developers.
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Traditional programming requires manual input: While this is true, it doesn't differentiate traditional programming from machine learning. Both require some form of input. However, the key difference is that in machine learning, the algorithm learns from the input data and improves over time, whereas in traditional programming, the output is entirely determined by the pre-set rules, regardless of the input data.
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