MATLAB’s Popularity: Assignment Help

The popularity of MATLAB stems from its diversity and large scale applications. MATLAB has functionalities to perform tasks related to Artificial Intelligence, Computer Vision, Voice Recognition, Data Visualization, Avionics, Circuit Design, and Neural Networks. There is a specified toolbox and working environment for all the above-specified domains, hence MATLAB attracts researches from different fields. In this era of the industrial revolution, data is highly valuable and advancement in data processing techniques has further amplified it. Data processing can be a difficult task as it demands complex and iterative computations, the diverse nature of data further add to its complexity. After the breakthroughs in technologies like Computer Vision and Voice recognition, it has become imperative to process images and sounds as well. MATLAB can read and process numerous data types. The software reduces the processing complexity by storing the data in matrices. The user can easily apply functions on the matrices to perform its desired processes. The same functions are applicable to a big dataset with a minor difference in syntax, hence MATLAB possesses high scalability for Artificial Intelligence. MATLAB offers solutions to all these problems and this is the foremost reason for its popularity. We will be discussing the different aspects and applications of MATLAB which render it a popular platform.

Nowadays, Artificial Intelligence has penetrated every race of our life. AI is described as the ability of a machine to take decisions. However, its definition may sound simple but the background process is not. The whole process is performed by deriving meaningful patterns and outcomes from a big dataset. The machine compares the current input with the already fed input and then predicts an outcome.  AI requires two basic functions, first, a huge dataset and then processing it to extract information. Reading the dataset is not a simple task because it contains diverse nature of data such as text, images, sounds, and numbers. We cannot neglect even a single data type is it will distort the accuracy of predictive analysis. To process this kind of data as a whole, we need a platform that can read and modify all the data types without increasing the complexity, thus MATLAB is highly preferred for the complex AI applications. MATLAB automatically identifies and classifies the raw data according to the data type and then arranges them in matrices. MATLAB transforms a process or a system into its mathematical model, this allows the software to apply mathematical algorithms to evaluate its outcome. The built-in functions of MATLAB can process a large data set in a matter of seconds. A predictive algorithm needs to continuously update its dataset and in MATLAB, dataset is easily modified after being read. 

The advancement in image capturing and processing techniques have introduced another dimension in machine learning. Image processing is a multi-disciplinary domain that implements algorithms from diverse domains and MATLAB offers the functionality of all the required disciplines. MATLAB is equipped with basic image functions such as image segmentation, filtering, plotting, enhancement, and transformation. MATLAB has a dedicated work environment for images as well. There is a function that can reduce the image size but there is a trade-off between size and quality. After processing, MATLAB can publish the image in various extensions. The frequency analysis in MATLAB allows the user to filter the image by implementing frequency-based filters. The intensities of an image are stored in the form of matrices, hence, the smallest unit of an image is also accessible. Therefore, the software is suitable for image processing as well. In addition to processing and modifying the visual data, MATLAB has functions for the visual representation of results as well. The user can include details on the visual data to make it easily understandable.

Considering the above discussion, it can be said that the significant factor behind the software’s popularity is its large scale application. The simplicity and interfacing capabilities further amplify its popularity. MATLAB is continuously expanding its application, therefore, it is predicted that the software will continue the same preference over other software. 

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