Techhub - March 24, 2022
Using Java for Machine Learning or Artificial Intelligence
When we talk about computer languages in the area of machine language and artificial intelligence, we hear about Python and R as languages to learn. Most people don’t know that Java can also be used for ML, AI, or data science.
During my master’s degree, I chose Java to implement machine learning algorithms for my thesis. I need to implement a system to detect falls in old age, in my language of choice.
I have the option of doing it in Python (a language I’m learning), R (a language I never use) or Java (a language I know). Knowing that Java is not the primary language in this area, I took it as a challenge and started implementing my project using archived Java with a MySQL database.
Why Java?
With the status of one of the oldest leading open source languages, I assumed Java might have something to offer, and I was right. Looking for Java libraries related to this domain, I found a long list of libraries I can use. I downloaded the Java Machine Learning Library (JavaML), which provides a collection of machine learning algorithms implemented in Java. I used the SVM (Support Vector Machine) algorithm to prove my point.
The reason we mention this is that if you are interested in implementing algorithms for ML, AI or Data Science and have experience in Java development, you can do without Python or Ruby to learn these subjects. As I mentioned in my previous article, Java offers development support in any area you want, and data science is no different. With the help of third-party open source libraries, any Java developer can implement data science algorithms to get things done. Python or Ruby have their advantages, but you don’t need to study them specifically to run algorithms related to data science or machine learning. Hope this clears up the misconception that you need to learn Python and Ruby rather than data science.
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