Why Python is best suited for Machine Learning

08-December, 2023

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Machine Learning is the process of teaching computers to make predictions based on some data without the interference of human beings. Currently the best programming language for research and development in Artificial Intelligence (AI) and Machine learning. We have an example of Google research about language ranking. Which told us that the interest in Python language has reached the next level in recent five years when compared to other programming languages like Java, R, Scala, Julia, and spark. Now the question arises is that Why, Why Python has become the most popular language for AI and Machine Learning. Let's have a look at four basic reasons for its noteworthy trend mark.

Machine Learning:

Machine Learning is the process of teaching computers to make predictions based on some data without the interference of human beings.
Currently the best programming language for research and development in Artificial Intelligence (AI) and Machine learning. We have an example of Google research about language ranking. Which told us that the interest in Python language has reached the next level in recent five years when compared to other programming languages like Java, R, Scala, Julia, and spark. Now the question arises is that Why, Why Python has become the most popular language for AI and Machine Learning. Let's have a look at four basic reasons for its noteworthy trend mark.

1) Easy to use:

Concept of "Easy to use" is lying under two basic points.

• The syntax of the python language is very simple.
• Precise to code.

An IT analyst said, "If we have the basic knowledge of one programming language then learning python is just like a cup of tea". If you have better learning speed then you will learn this programming language within 2-3 Months. It depends on your learning speed. There are mostly complex and versatile algorithms behind machine learning but Python's simplicity can easily understandable by humans which allows the developers to build reliable systems. Now the developers get to pull all their effort into solving a Machine learning problem instead of focusing on nuances of the language. This reason (simple in syntax) enforced most of the corporate companies to use Python in their research and development work. And the other difference is that it is precise to code the algorithms. We can implement more functionalities/ requirements in less line of code while comparing the other programming languages. For example, a person has to write code for a specific sub-algorithm then in java he has to write about 200-300 lines and in Python, he will just write 20-30 lines of code and that's it.

2) It supports many libraries and frameworks:

As it is an open-source language, it has hundreds and hundreds of libraries along with different frameworks which the developer can use to finish his project. Let us take a look at some important Python libraries.

 

NumPy:(Stands for numerical Python) NumPy enables us to implement array objects 50% faster than that of the traditional array list. There is a term “ndarray”, which means array object. Working with array objects becomes easy and smooth with the help of functionalities provided by ndarray. Usually, we have to use arrays in the field of data science, and we always need resources and speed in this field.

 

Also used for creating Multidimensional arrays. And you can also perform various operations between arrays.

 

Pandas:It helps you to read from different kinds of data sources. So that you can retrieve data and with the help of data frames and data series you can perform different operations.

 

 

Seaborn:To visualize the data set and perform statistical analysis from that data set.

 

 

Scykits learn:Library has a lot of machine learning algorithms, that's why most developers are using this Python library to implement machine learning-based algorithms. Scykits has various type of machine learning algorithms like supervised machine learning and unsupervised machine learning algorithms.

 

3) Community and Corporate Support:

When we discuss community & corporate support that means many developers are using python skills to increase their machine learning knowledge apart from that they are also using for implementing deep learning projects. And this is leading to an increase in Python popularity. Many top companies like Google, Facebook, and Amazon have used python programming language in most of their products. I must have to mention Amazon Alexa, Google Assistant, and Cd from Apple apart from that Netflix using it for Netflix movie recommendation system even Facebook is also implementing its friend suggestion system by Python and machine learning models.