Introduction to Machine Learning

What is Machine Learning?

Arthur Samuel defined machine learning as — “Field of study that gives computers the capability to learn without being explicitly programmed”.

In layman language, Machine Learning(ML) is a technique of parsing the data, learn from those experiences and then apply what they have learned to make an informed decision without actually being programmed( without any human assistance). The process takes some good quality of data and then train the computer by building some machine learning models.

A typical Machine Learning task is to provide a recommendation. For people who use YouTube, all the recommendations are based upon the user’s historical data. Machine Learning is also used in a variety of other tasks, for example, Image Recognition, Predictions, Fraud Detection and so on.

In this article, you will get a basic understanding of Machine Learning. Let us first know the difference between traditional programming and Machine Learning..

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