Whether you realize it or not, you encounter machine learning every day. Machine Learning Engineers work behind the scenes to create the systems that computers need to operate various software. Here is a list of top languages for machine learning.
Python
It is one of the leading programming languages for its simple syntax and readability. Machine learning algorithms can be complicated, but having flexible and easily read code helps engineers create the best solution for the specific problem they’re working on. Python supports a variety of frameworks and libraries, which allows for more flexibility and creates endless possibilities for an engineer to work with. Machine Learning Specialists can choose from Python’s many libraries to tackle whatever problems they have in the best and most direct way possible.
C++
It is popular programming language widely used for performance-critical applications that need memory management and speed at the forefront. These features make it an ideal programming language to use when working in machine learning. C++ is a competent language that can manipulate algorithms and take on memory management at a very detailed level. Moreover, its speed and efficiency enable it to be used to develop well-coded and fast algorithms.
R
It is a functional programming language, often used for data analysis and visualizations. It’s popular with scientists, statisticians, and others in the academic community. It has since grown and now includes support for object-oriented programming (a design principle that is important for, amongst other things, machine learning). The fact that R is so popular with statisticians explains, in part, why it’s also so popular in the ML community. One of R’s main strengths is its large number of user-created extension packages, which allow users to apply specialized statistical techniques.
Java
Java is an object-oriented language. It’s used to create applications that run on any platform, via the Java Virtual Machine (a kind of system emulator). It’s commonly used to create applets for web pages, large-scale enterprise systems, and apps on the Android mobile platform. Java has a long history in the professional sphere. Its users traditionally worked in financial institutions and the enterprise industry. It’s now often used in areas like network/ cybersecurity and fraud detection. Many who use Java for machine learning do so because they’re used to applying it on enterprise development projects.
Go
Go (Golang) is an open-sourced programming language that was created by Google. This intuitive language is used in a variety of applications and is considered one of the fastest-growing programming languages. Go is capable of working with large data sets by processing multiple tasks together. It has its own built-in vocabulary and is a system-level programming language. Go also has features like dynamic typing and garbage collection that make it popular with cloud computing services.
Testing, experimenting, and experience will help you know how to best approach each problem when creating the system needed for whatever machine learning application you’re designing. So, we gave you the list of top languages for machine learning. Hence, choose a language that best suits your abilities to start your machine learning career.
