Why is it used in Machine Learning?
Machine learning is to make use of data to make a machine make an informed and intelligent decision. It is basically identifying patterns in data. A crucial task for a machine learning engineer is extracting, defining, processing, cleaning, arranging and understanding data in order to develop intelligent algorithms.
Let us see why Python is a preferred language for Machine Learning:
It is easy to understand: Concepts of calculus, linear algebra can be so complex that they extract maximum effort from us. But with Python’s implementation, it makes it easy for a Machine Learning engineer to validate ideas. A package for everything: The kind of data that gets input is unstructured, incomplete, raw, bad, and large but Python can handle it. Sometimes the data input can be in the form of images, or videos. Sometimes it is simply a set of points, or a collection of huge documents that is spread across audio files and various other domains and sometimes it can simply be a lot of numbers. With a large repository of packages, and many improvements still under development, Python makes it easy to handle data.