TrustRadius Insights for MATLAB are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Business Problems Solved
MATLAB has proven to be an invaluable tool for a wide range of use cases across academia, research, and industry. Users have praised its versatility, ease of use, and extensive capabilities in solving complex problems and handling large amounts of data. From academic homework and research projects to major industry applications, MATLAB has been employed for a variety of purposes.
In the academic realm, MATLAB is commonly used as a teaching instrument, particularly in engineering and mathematical courses. It helps students grasp complex concepts that cannot be easily computed by hand and provides an accessible coding platform with excellent visualization capabilities. MATLAB is also utilized for simulation purposes, allowing engineering students to evaluate complex integrals and summations, as well as undertake signal processing projects.
Researchers frequently rely on MATLAB for data analysis and modeling tasks. Its intuitive interface and programming structures make it an ideal tool for generating graphs and plots for visualization purposes. MATLAB's built-in artificial neural network models have been effectively employed for various studies, including rainfall-runoff modeling, earthquake and wind excitation analysis, and climate data processing.
In industry settings, MATLAB proves its worth by solving complex problems, automating processes, and handling large datasets. It is widely used for prototyping mathematical algorithms in machine learning applications, aiding in product conceptualization through data visualization and mathematical modeling. Additionally, MATLAB finds utility in diverse fields such as power systems simulation, medical research, control systems development, image processing, algorithm prototyping, and automation.
Overall, MATLAB's broad range of applications across academia, research, and industry makes it a valuable asset for individuals and organizations alike. Its adaptable nature enables users to tackle various challenges efficiently while benefiting from its abundant functionalities and user-friendly interface.
[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.
Pros
Very simple and easy-to-use programming features (m-files)
Very strong technical toolboxes for almost any engineering needs (esp. in electrical engineering)
Effective and beautiful plotting features
Cons
Its debugging environment can be improved (could be more similar to C++ or C# editing environments)
Its new plotting environment is very different from the previous versions! It is improved in options, but a bit hard for an old user to catch up with
It would have been excellent if Matlab's usage of RAM could be limited. More precisely, I would like to have the option not to let Matlab eat all the memory!
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!
I'm using MATLAB to do my assignments and projects. MATLAB covers any areas including simulation things, solving complex mathematics problems, machine learning, matrix related calculations. I’m working mainly on machine learning, machine vision, and neural networks. So, I must build prototypes of the footprints of those models. Using MATLAB for prototyping save more coding time than other languages.
Pros
MATLAB helps in simulating and modeling systems. We don’t need much coding knowledge to model/simulate systems. We just need to drag and drop components and connect them. Ideal for math students.
Codes are simple and clear. We don’t want to worry about memory management and other coding rules and regulations. Syntaxes are simple and flexible. There are powerful codes and they can be written in one or two lines.
MATLAB is ideal for making prototypes. As we don’t want to worry about coding, we can focus totally on the math part.
Great tool for visualizing data. As I’m doing projects on data science, I know the importance of visualizing data before developing models.
Cons
There should be a guiding program integrated with the software for beginners.
There should be plugins to import other scripts written in other languages.
MATLAB should allow users to add or remove features. Thee are unwanted features and functionalities for some users.
Likelihood to Recommend
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.
MATLAB is basically used for data analysis in our organization. We deal with many client websites and their sales and we need to analyze the sales of every website and compute data to be sent to a database. I personally used MATLAB in my college days when working on signals and processing and graphs related to my work.
Pros
Matlab is easy to use and one can start using after gaining some knowledge about it.
It is very fast in analyzing and allows one to save data in separate files to work with it again.
Graphs plotted for data are very easy to understand and provide detailed information.
Cons
It is very costly, but after all, it depends on the industry, those who can afford it should use it.
It provides a faster output, but it takes a lot of memory and sometimes slows down the system. I faced this issue, but it depends on one's system configuration.
Likelihood to Recommend
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.
VU
Verified User
Engineer in Information Technology (Internet company, 51-200 employees)
MATLAB allows you to do matrix multiplication, implement algorithms, create user interfaces, read images, etc., which helps in modelling a product. MATLAB solutions for Deep Learning allow users to design, build, and visualize convolutional neural networks. It has various uses like image processing, Variable precision arithmetic, simplification and manipulation of symbolic expression. These features helped us develop our product perfectly.
Pros
The ability to process a variety of data.
Interface, Plot figures for reporting.
Cons
Expensive
Not easy to integrate it with Other softwares.
Likelihood to Recommend
MATLAB is a great software to use, it has many features which can help you creating your product easily. It is best for working with mathematical equations. It is quite easy to understand and start. Plotting analytical graphs and charts helps you for reporting and other things. It has many features which you can get after regularly updating version. You can get your all queries in MATLAB forum and its community is vast.
VU
Verified User
Employee in Information Technology (Internet company, 51-200 employees)
I have used matlab for image processing on a big project with numeric data calculations for future purposes - the graphical output is optimized for interaction. Anyone can use it for different different purposes, like linear algebra calculations, an easy way to calculate return of investment, predicting the amount of turnover a company will have, or creating a financial plan.
Pros
Exploring research: The graphical representation using plot graph is very interactive to predict future performance.
Easy syntax, easy to learn.
Engaging mathematics.
Saves time, saves costs.
Cons
It uses a large amount of memory and on slow computers it is very hard to use.
It sits “on top” of Windows, getting as much CPU time as Windows allows it to have. This makes real-time applications very complicated.
Likelihood to Recommend
1) Image processing - for example to analyze a person's face - face-lock in mobiles, Doors, Laptops etc. 2) You can predict anything using its mathematical functions - performance, future ROI, predictive turnover etc. 3) Increases the security surrounding a new technology. 4) Can use it for fingerprint analysis for attendance purpose in a company.
VU
Verified User
Engineer in Information Technology (Internet company, 11-50 employees)
We use MATLAB for DATA visualization and converting data into Mathematics equations and Models Especially product department uses this for data analysis. We gather a lot of data on a daily basis, so many product releases.During product conceptualization, it helps a lot on giving the decisions on features. If one is analytical and love to visualize things in Mathematics, MATLAB is a beautiful.product!
Pros
Converting any data into Mathematical Model
Nice Data Visualization
Dealing with large sets of data
Defining data parameters.
Cons
Not ability to transform into direct business solutions
Being an expert on MATLAB takes a longer time
More flexibility needed for other departments in the business
Likelihood to Recommend
Best suited when you have a clear-cut process of defining the mathematical solution and have a business to data transformation in mind. Works wonder for analytical society. It is not well suited if you have more problems related to human error. If you can manage this product then it is a great cost optimizing tool.