Machine Learning vs. Traditional Programming

Hi friends, today I am going to discuss the most important difference b/w traditional programming vs machine learning and what is the factor which makes the machine learning term so popular and powerful.

 

Traditional Programming:

In traditional programming, we provide the software program with some input data and get some output which is fixed in nature and if u want to achieve some extra outcome you have to write more programming code according to that as well. (Figure 1 describe this statement in more depth).

 

Machine Learning :

In machine learning, we provide input data + output labeled data initially to train the model or system which further produces the models. Then build models takes the real-world data set and produces the output as u want and continuously learn from these data's and also correct the model. (Figure 2 describe this statement in more depth).

 

Below are the factors which make the machine learning term so popular and powerful.

 

1-Learn from a real-world data set.

2-Continuously upgrade or correct the models' behavior.

3-Extract the hidden pattern from the given dataset.

4-Reduce human involvement and cost-saving.

Fig.2