- explore data to look for gaps and patterns
- develop algorithms for predictive models
- accelerate analysis using high performance computing
- integrate and deploy applications into enterprise solutions
“matlab enabled us to speed the development of envalyzer, a customizable, easy-to-use tool for analyzing, visualizing, and interpreting engineering data in a wide variety of formats. now, our engineers can validate components faster and more accurately than was possible with spreadsheets and third-party tools.”
sharath sl, bosch
access and analyze data
matlab data analysis products let you access, visualize, and analyze data within a single environment. you can interactively explore data, build customized analyses, and share your discoveries with others through reports, published code, 3d visualizations, or as complete applications.
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develop machine learning algorithms
machine learning algorithms use computational methods to "learn" information directly from data without assuming a predetermined equation as a model. they can adaptively improve their performance as you increase the number of samples available for learning. machine learning algorithms are used in applications such as speech and facial recognition. they are used in big data applications that have large datasets with many predictors (features) and are too complex for simple parametric models.
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accelerate analysis with high- performance computing
mathworks® continues to accelerate large computations for big data problems by supporting the latest multithreaded hardware architectures. using parallel computing toolbox™, matlab parallel server™, and or matlab production server™, engineers, computer scientists, and data analysts are getting answers faster than ever before by utilizing the high-performance computing power of multicore processors, gpus, and compute farms.
deploy and integrate data analytics models into enterprise applications
while matlab offers an environment for developing advanced data analysis and machine learning algorithms, these models and systems often must be deployed into the real world. mathworks provides many different options for the deployment of matlab algorithms including generation of portable c/c code, compiled executables, web-based applications, or even integration to mobile apps.
matlab in the cloud
run in cloud environments from mathworks cloud to public clouds, including and .
- use matlab in a web browser
mathworks cloud provides you with instant access to matlab and other products and services hosted on mathworks managed cloud infrastructure.
- run matlab and simulink in public clouds
process your data right where you store it with matlab, scale to high-performance clusters using matlab parallel server, and incorporate matlab analytics into applications with matlab production server.
- use matlab in docker containers
build a docker container image to run matlab in public or private clouds.
agile development
deliver software-enabled systems through rapid and continuous development with simulink®.
matlab and simulink integrates with jenkins™, jira, git™, github®, and other agile development tools, and lets you:
- use models instead of documents to collaborate across teams and communicate with customers
- develop working systems through simulations of incrementally elaborated models
- integrate your development in continuous integration, build, and test processes
- scale development using a combination of desktop, on-premise, and cloud resources
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