COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Traditional programming uses inputs with algorithms to calculate outputs, whereas machine learning uses inputs and outputs to find an algorithm.
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Traditional programming is easier than machine learning.
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Traditional programming can use iteration or recursion, but machine learning can only use iteration.
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Traditional programming can be object-oriented, while machine learning can’t.
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Detailed explanation-1: -In traditional programs, a developer designs logic or algorithms to solve a problem. The program applies this logic to input and computes the output. But in Machine Learning, a model is built from the data, and that model is the logic.
Detailed explanation-2: -A traditional algorithm takes some input and some logic in the form of code and drums up the output. As opposed to this, a Machine Learning Algorithm takes an input and an output and gives the some logic which can then be used to work with new input to give one an output.
Detailed explanation-3: -Machine learning and deep learning are both types of AI. In short, machine learning is AI that can automatically adapt with minimal human interference. Deep learning is a subset of machine learning that uses artificial neural networks to mimic the learning process of the human brain.
Detailed explanation-4: -The difference between normal programming and machine learning is that programming aims to answer a problem using a predefined set of rules or logic. In contrast, machine learning seeks to construct a model or logic for the problem by analyzing its input data and answers.