It provides built-in graphics for visualizing data and tools for creating custom plots.Holds a vast library of mathematical functions for linear algebra, statistics, Fourier analysis, filtering, optimization, numerical integration and solving ordinary differential equations.Provides an interactive environment for iterative exploration, design and problem-solving.It is a high-level language for numerical computation, visualization and application development.Features of MATLABįollowing are the basic features of MATLAB − MATLAB lets you take your ideas from research to production by deploying to enterprise applications and embedded devices, as well as integrating with Simulink® and Model-Based Design. The language, apps, and built-in math functions enable you to quickly explore multiple approaches to arrive at a solution. Application development, including Graphical User Interface building.Data analysis, exploration, and visualization.The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics. It is a programming platform, specifically for engineers and scientists. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. MATLAB is a high-performance language for technical computing. Furthermore, we will discuss different courses which offer data science with MATLAB. In this blog, we will look at the reasons why MATLAB is a good contender to R and Python for Data science. MATLAB is still in usage in most of the academics areas and mostly all the researchers throughout the world use MATLAB. But before R and Python, there was only one key player and it was MATLAB. R and Python have been steady languages used by people worldwide. With the growth of Data science in recent years, we have seen a growth in the development of the tools for it.
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