MATLAB Reviews

MATLAB is well suite for professionals in the geophysics area in oil and gas industry, actuarial insurance industry, astrophysics professionals, etc.

MATLAB is well suited for doing AI stuff such as machine learning, neural networks, machine vision. We can use MATLAB for Simulating and
modeling these systems.

The MATLAB is suited in various fields. It is best suited for the field of research and development. The major problems occur where we need to enhance and detect anything in an image, maybe medical images. MATLAB is also used in simulating various wireless networks with the latest technology.

It is really one of the only programs that is decent in computing statistical processes. While the R program can also be used for many of the same tasks, I have found that MATLAB is generally more proficient at complex or long statistical calculations. Unlike R, MATLAB is often difficult to produce good-looking outputs

MATLAB is very good for solving any linear models. Also good for solving linearized DSGEs where toolboxes such as Dynare come very handy. It has some nice toolboxes for time-series econometrics, Kalman filtering, and Bayesian estimation.

Matlab is a good language to learn. It helps users, programmers, and researchers perform extensive data analysis and visualization. It is easy to use but can crash more frequent because of how old it is. Users do not have to be programmatically inclined to use or learn Matlab.

It's best suited for mathematical problems that have numerical solutions. For symbolic solutions other tools such as Mathematica are preferable.

MATLAB is fantastic for analyzing, sorting, and displaying data. I use it all the time to make large data sets easier to understand. It is fantastic for making plots and graphs that display data sets. When you are looking to develop a full application to load onto a smartphone or tablet, MATLAB will not be enough.

MATLAB is well suited for data processing and filtering. It can be used well with civil engineering problems related to earthquake or wind engineering. It has a lot of inbuilt models within it. I have used it for Artificial Neural Networks. I have run heavy simulations with MATLAB and the results that I obtained were similar to what I got when I did heavy finite element simulations.

My rating would have been an "8" if MatLab was more affordable, but because of its steep price point, and especially after its recent increase in licensing price, I don't feel comfortable recommending my colleagues a tool that I absolutely love and use everyday, but also believe that it is overpriced. Had the price not been an issue, I would've strongly recommended MatLab to all my peers, especially those working in STEM.

MATLAB is an outstanding environment for scientific research and engineering teams to develop scripts and simulations and be able to look into new areas of interest without having specialized knowledge of the topic. You can make use of the many available toolboxes in many different fields such as Statistics, Data Science and Databases. You can even compile code that interacts with other programming languages like C++, third-party embedded systems and industrial hardware (PLCs). MATLAB also has a simulation environment that enables you to create visual representations of real systems to interact with them and adjust them before production saving you time and money.

Easy coding, Small data handling, curve fitting, and optimization of the system are all well suited in MATLAB, whereas if you have large sets of data they will make the process very slow. In my research, I always use Matlab for generating figures and analyzing the data. Sometimes, if the coding is composed with large data, then it is a problem. Overall, I will recommend using MATLAB as there is no other suitable software as user-friendly as MATLAB.

MATLAB is very suitable for educational use, such as to test new algorithms, to simulate/optimize product design, and to analyze large sets of data. However, installing MATLAB needs a large amount of space in a computer, and using it to process data, which is the most popular feature, also consumes large memory/RAM in a computer. Users would need to configure the computer before installing it on the computer.

MATLAB is great for (and already widely used) for academic/scholarly projects, but that doesn't mean it isn't useful outside those contexts! We've found it great for quickly getting ideas down into useable code for prototyping. We do not find that MATLAB is great for writing code that can be used in "real world" applications like web apps, but code can be ported to another language if needed.

MATLAB is best suited for matrix manipulation. It is a very powerful computational tool used by many different disciplines of engineers, but is very easy to use. You can write a script to work with most hardware.

Well suited when complex calculations including, but not limited to, matrices, multiple dimensions, arrays, etc. are needed. Also, if particular Matlab-based packages are desired. It is, however, expensive for non-academic users, so for simpler tasks, other free open-source software can be considered. Dedicated MATLAB support also comes with the purchase, not to mention many training resources.

MATLAB is well suited for research work, for quick programming and analysis of results, and to program scientific functions. It is good for small projects mainly and is well suited for designing a software workflow. It is less appropriate to deploy final live models on the MATLAB platform or to build scalable applications for deployment.

MATLAB is best suited for the electronics industry. Being with an electronics and communication engineering background I can tell that it is very useful for electronics as well as networking organizations who deal in signals and processing all day.

MATLAB is well suited for school and can be suited for business but it needs to allow more business professionals to use so people can get more peer support.

Base code for the bioenergetic modeling I use is supported only by MATLAB and Octave. The interface for running and editing code is much smoother and user-friendly in the MATLAB format. Plots are easily added and edited through MATLAB increasing the ease of use and preparing plots for publication.

Well suited for engineers and scientists trying to model data sets. Also good for creating algorithms to process similar data.

This is a good software for engineering students. It can be useful for electrical, mechanical and computer science students for solving different aspects of problems. Image processing & mathematical calculations can be done by using MATLAB software. On the contrary, MATLAB software is not appropriate software for implementing deep neural networks and 3D plot.

Sometimes we have to use Python because of easier integration with some of our C ++ scripts. Also since it's open source some of my coworkers prefer it. Generally I prefer MATLAB due to the matrix and accessibility and I think it is extremely more user-friendly and easier access to the stored data matrix. Also I prefer MATLAB language much more than Python, which I consider less straightforward sometimes.

I’d recommend it for data processing and plotting. I would avoid if you're trying to make a stand-alone program.

MATLAB is very good for quick prototyping and analysis of small data sets preferably below 10 GB of data. Above 10 GB it typically runs out of memory. Deployment of a project could be a bit troublesome.