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Chen Lin
Dernière activité le 14 Mar 2023

9 MATLAB Cheat Sheets for Data Science and Machine Learning

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.

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Santosh Kasula
Dernière activité le 19 Juil 2022

Introducing Scratch Pad in Cody

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.

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