Is Java Apt for Making Machine learning Applications

 

When we talk about computer languages in the domain of Machine Language and Artificial Intelligence, we hear about Python and R as the language to learn. Most of the people don’t know that Java could also be used for ML, AI or Data sciences for that matter.

When I was doing my master’s degree, I chose Java to implement machine learning algorithm for my thesis. I had to implement an elderly fall detection system using any language of my choice.

I had option of doing it with Python (A language which I was learning), R (A Language I never used) or Java (A Language I was proficient with). Knowing the fact that Java is not the leading language in this domain, I took it as a challenge and started implemented my project using Java backed up with MySQL database.

Why Java?

Having the status of one of the oldest leading open source languages, I assumed that Java could have something to offer and I wasn’t wrong. Upon searching for Java libraries related to this domain,found a long list of libraries which I could use. I download Java Machine Learning Library (JavaML) which provided a collection of machine learning algorithms implemented in Java. I used SVM (Support Vector Machine) algorithm to prove my thesis.Suggest Java training institute in chennai for ai based query examples.

The reason for mentioning this is that if you are interested in implementing ML, AI or Data science algorithm and you are from a Java development background then you can do it without the need to learn Python or Ruby for that matter. 

Java gives support for development in any domain you want, and data science is no different. With the help of third-party open source libraries any Java developer can implement Data Science algorithm to get things done. Python or Ruby have advantages of their own, but you don’t need to learn it specifically to perform data science or machine learning related algorithms. Hope this clears the misconception that for data science you must learn Python and Ruby.