- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
- Cloud
- Data
Engineering Features for Machine Learning in Microsoft Azure
Feature engineering is the process of using domain knowledge and insight into data to define features that enable machine learning algorithms to work successfully. Feature engineering is a fundamental part of the data preparation workflow for machine learning solutions.
In this skill, you will learn to apply common feature engineering techniques as part of the machine learning workflow in Microsoft Azure.
Content in this path
Beginner
In this section of the path, you will learn to apply simple feature engineering techniques using Microsoft Azure.
Intermediate
In this section of the path, you will learn to extract features from text documents using Microsoft Azure.
Advanced
In the final section of this skill, you will learn how to extract features from images, and how to apply techniques of complexity reduction, such as PCA, to your data inside of Microsoft Azure.
- Build features from numerical and nominal data
- Reduce the complexity in a data set
- Extract features from text documents or images
- This path is intended for experienced machine learning engineers or data miners looking to apply their knowledge inside of the Microsoft Azure platform.
- Feature Engineering
- Implementing the Data Science Workflow in Microsoft Azure
- Data Science Literacy with Microsoft Azure
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