In recent time, there is an increase in the demand for experts in Machine Learning. The First learning machine was discovered in 1950 by Alan Turing. Machine Learning is deployed in almost every domain in the industry and consistently its growing. Machine Learning is a part of artificial intelligence that makes the computer an ability to learn from past experience without being explicitly programmed. In order to understand and how machine Learning works, you will have to learn at least one programming language.
Here are the Top 5 best programming language that people used while working for a Machine Learning project:
When it comes to work in Machine Learning Project, Python is considered to be in the first place. The reason is due to its simplicity, syntax in python are very simple and can be easily learned. Python is used by most of the data scientist, Machine Learning Developers for analysis and model deployment. There are many libraries in python, which will make your task easier. For Example Pandas is used for data manipulation, Numpy helps for performing scientific Calculations. If You are a newbie in programming then you can prefer Python.
R was developed in Bell Labs as a modern version of S language. It is a free and open-source integrated development environment designed for statistical analysis and visualization. It has numerous packages like RODBC, Gmodels and tm which are extensively used in Machine Learning field. You can install R Language and get started or you can use IDE R Studio.
LISP Stands for (List Processor Language). It was invented at the (MIT) Massachusetts Institute of Technology by John McCarthy in 1958. It operates on Read-Eval-Print Loop (REPL). It is an interactive Programming Language used for Machine Learning applications and mostly loved by hackers. It is highly suited for AI development due to its unique features to process the symbolic information effectively.
This Language is the oldest language developed for programming Machine Learning and Artificial Intelligence. This directive and rule-based language contain rules to dictate the coding language. It supports efficient pattern matching, tree-based data structuring. This programming language is widely used in the natural language processing projects.
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