What is an example of the difference between classical programming and machine learning approaches?1 pointMachine learning algorithm does not require human programmerMachine learning is useful in healthcare while classical programming is not Machine learning learn rules from input and the desired output example, while classical programming requires programmers to manually design and implement these rulesMachine learning requires significantly less data to work as compared to classical programming
Question
What is an example of the difference between classical programming and machine learning approaches?1 pointMachine learning algorithm does not require human programmerMachine learning is useful in healthcare while classical programming is not Machine learning learn rules from input and the desired output example, while classical programming requires programmers to manually design and implement these rulesMachine learning requires significantly less data to work as compared to classical programming
Solution
The difference between classical programming and machine learning approaches can be illustrated with an example.
In classical programming, a programmer writes a specific set of instructions or rules for the computer to follow in order to solve a problem. For instance, if we want to create a spam filter, the programmer might write rules like "if the email contains the words 'lottery' or 'prize', then mark it as spam".
On the other hand, in machine learning, the algorithm learns the rules from the data itself. Using the same spam filter example, a machine learning algorithm would be fed a large number of emails that are already marked as spam or not spam. The algorithm would then learn the characteristics of spam emails (like certain words or phrases that are commonly used) and use this knowledge to classify new emails.
So, the key difference is that machine learning learns rules from input and the desired output example, while classical programming requires programmers to manually design and implement these rules.
The other points mentioned are not necessarily true. Machine learning does require a human programmer to design and implement the learning algorithm. Also, both machine learning and classical programming can be useful in healthcare. Lastly, machine learning often requires more data than classical programming, not less, because it needs to learn from this data.
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