Machine Learning Onramp

Go to class
Write Review

Machine Learning Onramp provided by MATLAB Academy is a comprehensive online course, which lasts for 2 hours worth of material. Machine Learning Onramp is taught by Matt Tearle. Upon completion of the course, you can receive an e-certificate from MATLAB Academy. The course is taught in Englishand is Free Certificate. Visit the course page at MATLAB Academy for detailed price information.

Overview
    • Overview of Machine Learning: Familiarize yourself with machine learning concepts and the course.
    • Classification Workflow: Build a simple model to perform a classification task.
    • Importing and Preprocessing Data: Import data from multiple files.
    • Engineering Features: Calculate features from raw signals.
    • Classification Models: Train and use Machine Learning models to make predictions.
    • Conclusion: Learn next steps and give feedback on the course.

Syllabus
    • What is Machine Learning
    • Overview
    • Import Data
    • Process Data
    • Extract Features
    • Build a Model
    • Evaluate the Model
    • Review
    • Organization of Data Files
    • Creating Datastores
    • Adding a Data Transformation
    • Types of Signals
    • Calculating Summary Statistics
    • Finding Peaks
    • Computing Derivatives
    • Calculating Correlations
    • Automating Feature Extraction
    • Training and Testing Data
    • Machine Learning Models
    • Training a Model
    • Making Predictions
    • Investigating Misclassifications
    • Improving the Model
    • Additional Resources
    • Survey