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Applied Machine Learning, Part 1: Feature Engineering using MATLAB

Explore how to perform feature engineering, a technique for transforming raw data into features that are suitable for a machine learning algorithm.
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Feature engineering starts with your best guess about what features might influence the action you’re trying to predict. After that, it’s an iterative process where you create new features, add them to your model, and see if your results have improved.  

This video provides a high-level overview of the topic, and it uses several examples to illustrate basic principles behind feature engineering and established ways for extracting features from signals, text, and images.

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