Explore the key distinctions between traditional computer programs and machine learning models, including their ability to alter code, deliver consistent outputs, and perform calculations.
Table of Contents
Question
Which of the following is a difference between conventional computer programs and machine learning models?
A. Conventional computer programs can alter their own code.
B. A machine learning model can reprogram itself.
C. A machine learning model delivers the same output every time.
D. Conventional computer programs perform calculations.
Answer
B. A machine learning model can reprogram itself.
Explanation
A machine learning model can adjust its algorithms based on the accuracy of previous predictions.
Conventional computer programs operate based on explicit instructions provided by programmers. They do not alter their own code and perform calculations as instructed. On the other hand, machine learning models are designed to learn from data and improve their performance over time without being explicitly programmed for each task. They can adjust their internal parameters in response to new data, which can be seen as a form of self-reprogramming to improve accuracy or adapt to new patterns. This ability to learn and adapt is what differentiates machine learning models from conventional computer programs.
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