Best Programming Languages for Machine Learning

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Machine Learning and AI are going to lead this Technology world. There are a lot of questions popping up in Quora, Forums and many more places about what are the best programming Languages for Machine Learning and Data Science.

Most of the people shared their experience in Q&A sites and some published posts about Best Programming languages for Machine Learning. But according to the developer’s experience and some stats which are taken from google trends only 5 languages for machine learning is preferred.

Best Programming Languages for Machine Learning
Best
programming languages for Machine Learning

None of these are the best language for ML as it varies. Why? Because it depends on the background, what type of project you are going to handle, and client requirements.

Here are the 9+ Best programming languages for Machine Learning. But only compared top 5 Programming languages for Machine Learning because C#, Julia, GO, TypeScript and Scala are less preferred by developers.

5+ Best Programming Languages for Machine Learning

  • Python
  • C++
  • Java
  • JavaScript
  • C#
  • R
  • Julia
  • Go
  • TypeScript
  • Scala
  • Lisp

Python Best Programming Language for machine Learning:

Best Programming Languages for Machine Learning
Best Programming Languages for Machine Learning

Most of the developers prefer python as the best programming languages for Machine Learning. 57% of the Data Scientist Engineers choose Python as their first language for ML due to its ease of coding. 

The reason behind it is having huge community support and pre-built libraries for ML like Scikit,  tensor Flow, Keras Python, Theano, PyTorch python, Numpy, Pandas, Scipy and MatplotLib. Each python library helps MLengineer with their own unique ways like N-dimensional arrays, Data Analysis, 2D plotting, and Data mining tasks.

Our day to day life applications like face detection, automatic translation, social media services, Virtual personal assistant, refining search engine results and many more are designed with the help of Python and ML.

In order to start your career as a Machine Learning engineer a basic knowledge of python Training is required.

C/C++:

C++ is one of the best and Oldest programming languages many of the developers prefer for ML. As C++ supports the python libraries like TensorFlow. With the help of C++ API’s and TensorFlow, most of the developers will execute data flow graphs.

Java Best Programming Languages for Machine Learning:

If your requirement is mainly focused on Security like cyber attacks and fraud detections then Java is the most Programming language used by many developers. Whereas other programming languages lack especially in this requirement.

Most large organizations and financial institutions need to be protected from cyber attacks.

Enterprise applications and front end desktop application developers use Java as their programming language.

R Programming Best Programming Languages for machine Learning:

R is also considered as one of the best languages for ML. The reason behind the use of R as a programming language for Machine Learning is Functional and Statistical algorithm features.

The reason behind R as programming Language for ML is, data processing can be handled easily.

The main advantage of R is Prototyping, data exploration on large data can be handled easily and fast.

R is mainly used in Bioengineering and biomedical statistical applications. R supports Regressions, classification, and decision tree implementation easily.

The packages/ libraries used by R language for Machine Learning are RODBC, Gmodels, and Class.  Most of the developers compare R to Python for machine Learning as a programming language.

JavaScript

Most of the developers use JavaScript as their frontend language for Machine Learning. 

JavaScript is used for Visualizing the data on a web based on the algorithms which are implemented in ML.

Conclusion:

You have to decide the best programming languages for Machine Learning based on the project which we are going to handle, features that we need and other factors that decide the language.


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