Resources – Data Science - MATLAB & Simulink

Data Science

Resources for Data Science with MATLAB

From managing data to training machine learning models, these examples will help you
take advantage of all MATLAB has to offer for data science.

Start Using MATLAB for Data Science

Introduction to Machine Learning

Introduction to Machine Learning

Try training machine learning models in the Classification Learner app, right in your browser.

Introduction to Deep Learning

Introduction to Deep Learning

Learn the basics behind deep learning. Try a simple, interactive MATLAB example right in your browser.

MATLAB for Deep Learning Onramp

MATLAB for Deep Learning Onramp

This hands-on, two-hour course is an introduction to practical deep learning methods for image recognition.

Data Analysis

Resample and Filter a Nonuniformly Sampled Signal

Resample and Filter a Nonuniformly Sampled Signal

Preprocess and Explore Time-Stamped Data Using timetable - Example
Clean Messy and Missing Data in Tables - Example
Data Smoothing and Outlier Detection - Example

Machine Learning

handwriting_recognition

Handwriting Recognition Using Bagged Classification Trees

Regression: Predicting Flight Delays - Example
Clustering: Color-Based Segmentation Using K-Means Clustering - Example
More Machine Learning Examples

Deep Learning

Regression: Predicting Flight Delays

Regression: Predicting Flight Delays

Code Generation for Machine Learning

Code Generation for Image Classification

Code Generation for Image Classification

Industry Applications

Similarity-Based Remaining Useful Life Estimation

Similarity-Based Remaining Useful Life Estimation

Credit Rating by Bagged Decision Trees - Example
Machine Learning for Algorithmic Trading (32:55) - Video
Traffic Sign Recognition for Driver Assistance Systems (21:46) - Video
Predictive Maintenance with MATLAB: A Data-Based Approach (40:13) - Video

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More on Data Science

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