Which is the best programming language to learn machine learning?
Machine learning is a very well known language in the field of computer science. Machine learning becomes popular and expanded in recent days because of its amazing applications and predictions. Now days almost all social media networks are using artificial intelligence such as Facebook and Instagram generate recommendations. These recommendations are coming automatically with the help of machine learning. Systems first learn a program to recognize what user likes and based on that it generates recommendations. In machine learning, selection of programming language, relevant data input and implementation of an appropriate algorithm, these things play a very important role. By analysis and comparison, there are few languages that play well with machine learning- Python, R, Java, Lisp, JavaScript.
1. Python
Python is a general-purpose and very popular programming language as it is easy to learn, having a simple syntax, open-source language. Python supports functional and object-oriented paradigms and it is the first language that got ML support by different tools and libraries. For Python developers, Tensor flow and Scikit are two popular libraries that are available.
Application
In the field of machine learning, python is most useful compare to other languages as there is a number of frameworks and libraries for machine learning. Amazon is using the python machine learning model to generate product recommendations for the user. Another example is Google who uses a tensor flow python framework to predict spam mails.
Pros
Easy to write
More no of libraries and framework
Huge community
Cons
Slow execution speed
Not suitable for game and mobile development
2. R Programming
R programming becomes popular in data science because of its statistical and functional algorithm features. R language is object-oriented, open-source, available on Github and supports different operating systems such as Windows, Linux, and OS X.
For understanding level, it is easy if you already know any other programming language. R has lots of packages and libraries that make it easy to learn and understand.
Application
Uber, New York Times and Google are using R for data modeling and analysis. It also has its extensive use in the banking sector for a specific purpose. BOA is using it for prediction of risk. It is mainly used in data science
Pros
A large no of libraries and framework
Cons
Slow speed
Poorly written
Not useful for a beginner programmer
3. Java
The most popular language in the world is Java and currently, there are almost 8 to 9 million Java developers in the world. It is a very standard language and that’s the reason its popularity not getting decreased. Coding and learning of java are a bit complex than python but program execution is better.
Application:
Java is used in web development as well as in-game and mobile development. YouTube, Amazon, eBay, and LinkedIn uses Java for server-side
Pros
Large community,
Fast execution time
Best choice for game development, Mobile Applications
Cons
Not beginner programmer-friendly
Need JVM to run.
4. Lisp
Lisp has the longest history if compare to other programming languages. This is the reason it has an influence on the development of JavaScript, R, and Python. For learning purpose, Lisp is the most difficult language and not beginner-friendly
Application
It is useful in are of symbolic Artificial Intelligence. It is also useful in the creation of chatbots for e-commerce sites. Grammarly also uses Lisp language.
Pros
Fast compilation time
Useful in solving a problem
Cons
Not beginner programmer-friendly
Not enough libraries Not big community as the Python or Java has
5. JavaScript
In web development, JavaScript is used along with Node js. This is easy to learn a language but sometimes understanding the context of work becomes difficult for a beginner.
Application
It has its limited use in web development only, but it is used to build standard and progressive web applications and it is also widely used in machine learning and data science.
Pros
Beginner-friendly
Full-stack
It‘s fast
Cons
Need a basic understanding of JavaScript for using the Node.js platform
From the above topics, we can get the idea that there are several programming languages that support ML framework and libraries, but Python is the most popular language followed by other languages. If you want to learn machine learning, NearLearn providing the best machine learning training with python training in Bangalore. We offer the best python training in Bangalore. If you want to know more about our courses and training contact www.nearlearn.com or info@nearleran.com