why was Machine Learning Introduced?

 

Improving our quality of life is the easiest solution. Early "intelligent" software often processed data or changed user input according to hardcoded "if" and "otherwise" logic. Consider a spam filter whose responsibility it is to divert the relevant incoming email messages to a spam folder. However, with the help of machine learning algorithms, the data is provided with plenty of information to learn from and recognize patterns. 

Simply defined, machine learning enables users to send massive amounts of data into computer algorithms, which then analyze, recommend, and decide using only the supplied data. Everything is automated. Due to machine learning, the workload and time have been reduced. 

1. Automation of Everything. Machine Learning is responsible for cutting the workload and time
2. Wide Range of Applications. ADVERTISEMENT
3. Scope of Improvement. Machine Learning is the type of technology that keeps on evolving.
4. Efficient Handling of Data.
5. Best for Education and Online Shopping.

With machine learning, we only need to utilize the same methodology with a different dataset, unlike with conventional problems, where we would need to design new rules for every problem.