Top Reasons: Why Python is perfect Choice for AI and Machine Learning

Machine Learning and artificial intelligence are the backbones of the IT industry. Our future depends on these two fields for many reasons like a smart recommendation, advanced search functionality. With Artificial Intelligence, our Future apps can see, hear and even respond to us. AI has already started making its impact on the IT industry. It helps to handle all the work which cannot be done manually and also helps in processing a large volume of data.

Reasons that make python as the best choice for AI and Machine Learning

There is a huge difference between AI projects and traditional software projects. The difference lies between research, technology and the skills required for AI projects. To implement an AI project you must use the best programming language which has features like stability, flexibility and has support and tools available. Python is the only language that has all these features and that makes it unique from all other programming languages. The result we can see, there are so many AI projects are available with python language.

Along with these python helps the developer to be productive and confident about the project they are developing and deploying. Python is simple and consistent with huge libraries & frameworks which makes it popular in the IT field.   

Read: Best Machine Learning Certification Training

Simple and consistent

Python offers brief and readable code which is easily understandable by humans. It attracts developers as it is very easy to learn. With the help of python, it becomes easy to build models for machine learning.

As per the opinion of many developers, Python is more spontaneous than other programming languages and has many frameworks and libraries that simplify the implementation of different projects. Python is a general-purpose language but it can perform complex machine learning tasks.

Number of libraries and frameworks

Python has a number of libraries and framework which helps the developer to reduce development time. The library is a piece of pre-written code that can be used by the developer to perform common programming functions. With python libraries, developers don’t need to write code from the beginning level. Python has a set of libraries for machine learning and artificial intelligence. We are listing here some of them:

Scikit-learn: This library is used for handling basic ML algorithms like clustering, linear and logistic regressions, regression, classification, etc.

Pandas: It helps in merging and filtering of data, as well as gathering it from other external sources. Mainly it is used for high-level data structures and analysis.

Keras: This is the deep-learning library that allows fast calculations and prototyping.  It uses GPU in addition to the CPU of the computer.

TensorFlow: Used for working with deep learning by training and utilizing artificial neural networks (ANN) with massive datasets.

Matplotlib: used for the creation of 2D plots, histograms, charts, and other forms of visualization.

NLTK: It works with computational linguistics, natural language recognition, and processing.

Scikit-image: The main function of this library is image processing.

PyBrain: It is used for neural networks, unsupervised and reinforcement learning.

StatsModels:  It is used for statistical algorithms and data exploration.

A low entry barrier

As you are working in the Machine Learning and Artificial Intelligence industry, you have to deal with a bunch of data which need to process and filter in the most effective way. The low entry barrier offers more data scientists to rapidly pick up Python and start using it for Ml and AI development without wasting time and effort on learning the language.

Python language is the same as the everyday English language, which makes the process of learning easier. It is having simple syntax which allows you to comfortably work with complex systems.

Platform independence

Platform independence is the ability of programming language to allow developers in implementing things on one machine and to use them on another machine without any changes in the code or programming. One of the main reasons for Python’s popularity is that it’s a platform-independent language. Python language is supported by many platforms including Linux, Windows, and mac operating system.

Readability

Python is very easy to read programming language so each and every Python developer can understand, change or copy the code and share it without having any confusion.

Strong community support

It is always a big plus point when there is a strong community support behind any programming language. Python is an open-source language and there are a number of resources open for programmers

A lot of Python documentation is available online in the form of Python communities and forums, where you can ask any question regarding your python queries and programmers and machine learning developers solve problems, discuss errors and helps everyone.

Artificial Intelligence and ML are fast-growing technologies that have the solution for complex tasks and Python is the perfect suitable programming language for AI is due to the many reasons as we have seen. Join NearLearn for Best Python Certification Training in Bangalore at affordable cost with placement support. For more information, contact: +91-80-41700110