Businesses are moving toward Artificial Intelligence (AI) systems. Machine Learning is a part of Artificial Intelligence that teaches a machine to behave like a human. There are different programming languages like Python, Java, R etc. that develop machine learning and data science-based applications. In this cut-throat competition, there are many Java Development Company available in the market that develops such artificial intelligence applications.
The artificial intelligence market is expected to grow by $75.54 billion between 2019 and 2023 at a CAGR of over 33%. Moreover, the value of the global machine learning market was $8 billion in 2019 and is likely to reach $117 billion by the end of 2027 at a CAGR of 39%.
Importance of Java for Data Science and Machine Learning
Java language is used by various Java development companies to develop different applications that can be used on daily basis. The following are the reasons why the developers use Java language to develop machine learning and data science system:
- Java is one of the oldest languages that have various frameworks which are used by developers to develop machine learning applications.
- Java is a statically-typed and incorporated language which helps to decide the information type of a variable.
While compiling the application, Java executes the check which makes the faster execution. - Hire dedicated Java developers prefer to use Java programming language as it delivers high performance without compromising the efficiency of developed machine learning applications.
- Across the globe the Java web development services are packed with billions of Java Virtual Machine (JVMs) that simplify the scaling process.
- Java Virtual Machine (JVM) is considered to be one of the best platforms for developing machine learning and data science systems as the developers can easily write identical codes for multiple platforms. In addition to this, IDEs are packed with various features that improve the productivity of the developer and enable them to create custom tools at a rapid pace.
- Every software development company have a standard coding structure which is followed by the developers of the company. Moreover, Java is having extraordinary language structure that permits understanding the coding and variable strategy used while developing data science and machine learning applications.
- Java language is used by several data science processes and data analysis as it includes data cleaning, import and export of data, statistical analysis, deep learning, NLP (Natural Language Processing), and visualization of the data.
- Apart from Java, there are many other programming languages available for data science and machine learning but they are slow in comparison with Java programming language. Most well-known websites and social media applications like LinkedIn, Facebook, Twitter etc. rely on Java for their data engineering needs.
- As the code base of Java is commonly written so any developer can easily find out about data generation, submit merge requests to production codebases, and can easily deploy the best solutions for machine learning.
Why Java is used for Data Science and Machine Learning?
Java Virtual Machine (JVM) is well-known for its derivatives and frameworks which are used by Java. This affects the data analysis distribution systems of machine learning in enterprise settings. Few more reasons are there behind using Java for data science:
- The split functionality available in Java makes the work of developers easy.
- Programming with Java allows developers to be explicit about the data and types of variables they use while coding. This is useful for data management of machine learning and data science system.
- Java is packed with well-developed suits of mechanisms along with a range of IDEs that allows a developer to be more productive.
- The documentation of code using Java Virtual Machine (JVM) becomes easy as the code looks similar on different platforms and also can handle big data space.
- Scala is widely used for machine learning technologies and data processing tools. Scala is built using JVM and it performs well with Java in comparison with Scala.
- In comparison with Python, the development in Java is 25 times fast. Just in a single instance, the Java programming language can do tons of computations. Furthermore, the processing speed of Java is swifter in comparison with other programming languages.
- Java provides the facility where the development and deployment of algorithms are done at ease. A high level of integration is possible with Java due to its codebase as the algorithm can be easily connected with the codebase and results in hassle-free code allocation to any new developer.
- Java programming language has a wide community, and developer-friendly programming and code documentation becomes easy and that is the reason why data scientists prefer to work with Java.
- Data scientists can use various new features to develop the best machine learning system as the Java community comes up with various upgradation.
Future of Java for Machine Learning and Data Science
In this cut-throat competition, most businesses are keen on Artificial Intelligence systems. Java programming language plays a major role in providing the best solutions to Java development companies for developing applications. Java is best suited for AI due to its execution and easy codebase on multiple platforms. Java is a scalable language which is packed with different frameworks and libraries. Compiling a program with Java becomes faster as compared to other programming languages.
The global machine learning market size was valued at $15 billion in 2021 and is projected to grow to $117 billion by 2027 at a CAGR of 39.2% during this period as per Fortune Business Insights. The global artificial intelligence market size is expected to reach $266 billion by 2027 which was valued at $27 billion in 2019 at a rising CAGR of 33.2%.
Most software development companies use Java programming language for developing machine learning and data science-based applications.
Wrapping Up
Java is best suited for Data Science and Machine Learning systems as it is flexible, versatile and scalable. Moreover, many features and tools are available which provide the best machine learning solution. Last but not the least, Java provides the best developer-friendly codebase system where any developer can be allocated with the code and can start working on it hassle-free.
