Best Languages For Machine Learning in 2024

Are you a Netflix or Amazon user? Ever thought about how it works to give you personalized suggestions on what you should watch? 

Machine learning and artificial intelligence play a huge role here! To remain relevant and in the limelight, innovation is necessary. As such, it is important to keep track of new advances in science and technology and to know how it works. 

What does Machine Learning do?

We know ML (Machine Learning) is a set of maths, algorithms, and data processed to deliver an AI capability. Machine learning is a fundamental tool behind any artificial intelligence product that we use today. They are human tools, to be deployed by someone to undertake a specific action. We program AI and ML technologies to create more innovations. 

We use a number of programming languages accordingly in Machine learning to attain an output. Here we will discuss the best languages for machine learning in 2024. So, which programming languages will continue to be trending in 2024 and beyond? Let's check 

Best Machine Learning Languages in 2024

If you are an aspiring developer, here is what you should know about the top programming languages that will stay in demand in 2024 for Machine Learning. 

1.Python

Python is the most popular and promising programming language for machine learning. There are lots of benefits of using Python for Machine learning. It ranks first among all other languages. Here is why: 

1. 1. SciKit-learn handles classical ML algorithms
   2. Pandas for high-level data structures and analysis.
   3. Keras and TensorFlow for deep learning
   4. Matplotlib for visualization.

2.Java

We know Java is also a popular language. Java is used for larger projects in machine learning. Here is how Java contributes to ML 

1. 1. Weka supports deep learning.
   2. JavaML maintains good documentation with clear interfaces. 
   3. Apache Mahout provides implementations of machine algorithms for the Apache Hadoop platform. 
   4. ADAMS (Advanced Data Mining and Machine Learning Systems) maintain data-driven, performs retrieval, processing, mining, and visualization of data.

3.C++ 

C++  would be the ‘first language’ we might have used. C++ is used in machine learning even though several programming languages came later. Let’s check how C++ perform in Machine learning :

4. R Programming

R Programming is a graphics-based language used for statistical computing and visualizations in machine learning. It is a popular programming language among statisticians. Let’s check how R operates in machine learning.

5. Scala 

Scala provides functionalities for big data processing and machine learning analysis. Advantages of Scala are:

Which ML Language should you Opt for?

Machine Learning requires and uses more than one programming language for its output. The above-mentioned are widely used languages in ML and AI. If you ask us the best of all, we would say it is Python, but every language has its specific benefits. Being an AI developer, it’s important that you choose the programming languages wisely for a better output.

Read More How to perform Machine Learning in Python?