Machine learning (ML) involves writing codes that help computers make decisions based on instructions called algorithms. It’s the wheel behind artificial intelligence (AI). The use of AI continues to grow fast, creating more opportunities for machine learning programmers.
Are you interested in mastering machine learning languages? The first step is to choose a programming language. For most newbies, this might be challenging. Multiple languages can create machine learning codes. Yet, you can’t learn all of them. To start as a programmer, you only need to study one language.
But how do you choose from among many high-level languages? First, you must identify what you want to build. Then select a language that’s easy to learn, flexible, and has extensive libraries. This guide will help you understand the top 5 machine learning languages in 2022.
Over the years, the use of Python has been growing steadily, overtaking popular languages like Java, C, C++, and C#. Currently, Python ranks as the most demanded programming language based on job advertisements in the U.S. It’s also the most preferred programming language on GitHub.
Python uses one of the most natural languages and less complicated syntax. So it’s easy to learn, read, and correct errors. Best of all, Python is an open-source language. Meaning it’s free to access and distribute. As a result, it has versatile libraries.
A library is a collection of modules or codes made to perform specific operations. Some modules can help with the graphical user interface, data analysis, graphs, among other things. Instead of writing the same code every time you need it, you can import it from the library.
This library simplifies the work of a programmer, making it fast and convenient. Considering that Python has one of the largest online support communities, you can access so many modules for use in any program you want to write.
This language is helpful in the booming industries of data science, artificial intelligence, and machine learning. Due to this application, Python is likely to have high demand even in the future. It’s also popular in web-based applications. Plus, you can use it to make mobile and desktop applications.
It helps create interactive web pages both on the client-side and the server-side. Some of the things you can do with it include creating 2D/3D animated graphics, websites, presentations, web applications, art, games, and so much more. Also, you can use it to make non-web apps such as mobile and smartwatch applications.
R is an open-source programming language used for statistics. It’s the best alternative to traditional languages like Stata, SAS, and SPSS. R helps visualize statistical data by use of graphics. Large companies such as Google and Facebook use it. Being an open-source software means you can download and use it for free.
When it comes to advanced statistics, R is quite ahead of Python. Pythons is a general-purpose programming language that adopts a general approach to statistics. But R is capable of in-depth statistical analysis. However, R is much harder to learn than Python.
Some of the applications of R include data mining, time series analysis, regression analysis, stock-market modeling, risk assessment, and simulation. Also, R is helpful to organizations that need to collect and analyze customers’ data. These include healthcare, e-commerce websites, social media, and finance.
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Java is the third most used language on GitHub. This object-oriented programming language is an improvement of C and C++. So, it eliminates the errors that occur in C and C++. It’s also easy to learn, considering it’s a high-level language with simple syntax.
Java codes comprise methods and classes. Methods are blocks of codes that execute when called. A collection of methods makes a class. Java’s motto, write once run anywhere, means you can run it in any machine. This portability makes it one of the best programming languages.
Some of the features of java include exception handling and garbage collector. Its applications include mobile apps, web, games, GUI, and embedded electronics.
C++ is a general-purpose, powerful, and widely used programming language. It’s a multi-paradigm programming language, meaning it can use procedural, functional, and object-oriented programming approaches. It’s also a middle-level language as it comprises features of low-level and high-level programming languages.
C++ is used to create various applications, especially for business uses. For instance, Microsoft Office is a product of this language. You can also use it to make games, operating systems, browsers, among many other applications. C++ apps are fast and can run on various platforms like Windows, Mac OS, and Linux.
Choosing The Right Machine Learning Language
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