MATLAB Reviews and Ratings

Use Cases and Deployment Scope

I have been using MATLAB for quite a long time and we use it quite frequently at Broward. It is constantly used within our research groups and by quite a lot of undergrad and postgraduate students. For the most part, we use the software for simulation purposes and we also interface MATLAB when teaching other program languages such as Fortran, as the engine allows for this. The interface is incredibly intuitive and the modeling of differential equations/integrals allows us to quickly and efficiently process large amounts of data in a short time. Currently, we are running a machine learning course, which teaches the students how to visualize and build neural networks, so building prototypes of these models helps develop an underlying understanding of the mathematics involved.

Likelihood to Recommend

There are many specific scenarios where MATLAB is well suited. Researchers

need fast modeling and fast prototypes for data. In a research

environment, new ideas are always popping up so it is important to be

able to distinguish quickly what methods are needed and how to get things

done. Mostly we know in advance what methods will be successful in our

modeling so the only caveat we have is programming time- this is not too

much of a problem, because a lot of time is saved as everything needed

to run a successful simulation is already outlined in MATLAB variety of

functions. I think situations, where MATLAB is less suited, are for people which already can code really well-

or already know languages that outperform MATLAB in certain scenarios,

such as Python. As a general program language, it often un-performs and

although does integrate into other languages such as Fortran, it is quirky

and quite slow for many a task.

Use Cases and Deployment Scope

We used MATLAB to import and process raw EEG data gathered using the Muse Brain Sensing Headband as part of a dissertation research project.

Likelihood to Recommend

MATLAB is well suited for data which needs to be displayed in a plot. It is also good for importing and processing raw data.

Use Cases and Deployment Scope

MATLAB is used within our Data and Analytics team. Since it has a large array of computation library around images and speech, we used it to preprocess images and extract some principal features, also for one project revolving speech modulation we used to test various overlapping frequencies to distort sound. We used an extensive sox library as well its matrix processing capability.

Likelihood to Recommend

It is very easy for programming. A lot of resources and helps available at a click in the software itself. The main advantage is it has many toolboxes for almost every field. The way of importing data is very easy and intuitive. The graph customization is very helpful for research and academics Major drawback is size of the package and it constantly gets bigger every year, also integration is something it lacks like with other libraries.

Use Cases and Deployment Scope

[MATLAB] is being used by most of the engineering students at Virginia Tech. Most of the time, we use it for simulation purposes. It can also be used to evaluate complex integrals and summation. Its Signal Processing toolbox is very helpful for doing related projects. I also use it as a high-level programming tool.

Likelihood to Recommend

It's almost the most advanced and powerful calculator you can find. This makes [MATLAB] very suitable for solving/testing almost any engineering problem. I myself have benefitted from [MATLAB] from my early Bachelor studies and then at work. You can also learn it very quickly as the language is very intuitive, not to mention its super good Help page!

Use Cases and Deployment Scope

I am using it for data analysis for my research thesis.

Likelihood to Recommend

Matlab is a great tool when utilized for complex mathematical equations, simulations, or GUI. It's very simple to learn and utilize, compared to Python in my experience.

Use Cases and Deployment Scope

MATLAB is used across the whole department and simplifies the handling of mass amounts of information and computations. Previously we would attempt to use Excel, which is okay but makes it much harder to visualize your equations. MATLAB also has a lot more well documents commands/functions that make computations and matrix operations tremendously easier than other comparable software. As an engineer I also think it is actually simpler to use than say Python.

Likelihood to Recommend

MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.

Use Cases and Deployment Scope

I use MATLAB in many of my courses. Currently, I am using it in an advanced math modeling course (to solve systems of differential equations) and in an advanced mathematical software course. The interface is fairly intuitive and the programming structures are easy to understand, making this software an ideal way to teach mathematical programming to students. MATLAB is a package that many of the students will find in their workplaces when they get out in industry.

Likelihood to Recommend

Engineering, mathematical modeling, and machine learning are all fields where MATLAB will shine. It's fast, reliable, and relatively easy to use. MATLAB is the de facto standard when it comes to producing high-quality plots. If you need to deal with large data sets, and not take forever processing them, MATLAB may very well be the tool for you!

Use Cases and Deployment Scope

We use [MATLAB] for statistical analysis for our finance and accounting team. [MATLAB] can be used for those analysis that can't be done in excel.

It helps us to analyze sales for different products and and provide ways to visualize Data.

Likelihood to Recommend

[MATLAB] is great for data analysis and for visualizing data but it can be expensive. Learning curve isn't bad but [MATLAB] tends to crash often and can be slow.

Use Cases and Deployment Scope

I'm using MATLAB to support prototyping efforts in machine learning mathematical algorithms. It's great for getting ideas into a system and capable of performing tests on hypotheses. It's good because it does not require a significant, from-scratch, programming implementation--that saves time and effort, requires a lower level of technical expertise, and ultimately leads to a reduced time to market and better overall solutions once the implementation does finally go into a more extensible language like C++.

Likelihood to Recommend

MATLAB is great for prototyping and really great for getting speed to market for those that know the software well. The syntax can be a little different for classical programmers, so there is a bit of a learning curve that needs to be overcome. As a machine learning prototyping tool, it's got some nice advantages--does calculus and the necessary algorithms to support ML if you know what functions to call and how to manipulate the data.

Use Cases and Deployment Scope

MATLAB is a program that is frequently used in numerical calculations. Used for testing, simulation and modeling purposes. Thanks to the ready-to-use functions, it enables us to perform many processes quickly in a short time. It is an application that every engineer should know a little. The fact that their indexes are different compared to other applications is a bit of a reflection in code conversions. It allows many operations with many toolboxes. The resources outside the matworks are minimal. In my undergraduate thesis, I wrote my image processing application on matlab. The MATLAB installation takes up a lot of space on the computer, so installing more than one version on one computer at the same time greatly slows down the computer. Arithmetic operations are quite simple compared to other programming languages. matrix operations, function and data drawing, algorithm development, allows user interface creation.

Likelihood to Recommend

In 2015, I developed my undergraduate thesis on face recognition in MATLAB. In 2020, I used MATLAB application for my master thesis in image processing. It made my job very easy while implementing my thesis because it has many ready-made functions. Since the necessary documentation was available on MathWorks, I was able to develop applications quickly without using any other resources.