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We’re excited to share that Cleve Moler, creator of MATLAB, has been elected to the U.S. National Academy of Sciences—one of the highest honors in science.
This recognition celebrates Cleve’s groundbreaking contributions to numerical computing and his lasting impact on researchers, educators, and engineers around the world. From advancing numerical linear algebra to making powerful computation more accessible through MATLAB, his work has shaped how science and engineering are done today.
Please join us in congratulating Cleve on this well‑deserved honor!
🔗 Learn more about the 2026 NAS election
In our community poll ‘Which MathWorks resource is most helpful to you while learning MATLAB?’, Documentation is listed as the most helpful resource by 47% of respondents. However, it’s also worth noting that there is tons of information in the documentation. When you want to learn a topic or get quick reference, a cheat sheet would be very useful and save you time!
We’d like to share with you 9 MATLAB Cheat Sheets for Data Science and Machine Learning! These cheat sheets let you find just the right command for the most common tasks for your data science or machine learning projects.
- Automated Machine Learning (AutoML): automate difficult and iterative steps of your model building
- MATLAB Live Editor: create an executable notebook with live scripts
- Importing and Exporting Data: read and write data in many forms
- Preprocessing Time Series Data: store, merge, and clean multirate time series sensor data
- Machine Learning: discover patterns and build predictive models
- Deep Learning: create, train, and validate deep neural networks
- Text Analytics: preprocess, analyze, and model text data
- Problem-Based Optimization: solve optimization problems using a natural syntax
- Solver-Based Optimization: solve optimization problems using matrices and functions
Check it out and let us know your thoughts.
We are introducing Scratch Pad in Cody to support iterative problem solving. Scratch Pad will enable you to build your solution line-by-line, experiment with different MATLAB functions, and test your solution before submitting.
Try it out and let us know what you think.
