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.
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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.
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.
What You'll Learn
What's inside
Four courses
Building Features from Nominal and Numeric Data in Microsoft Azure
(1 hours)
Building Features from Nominal and Numeric Data in Microsoft Azure
(1 hours)
Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure
(2 hours)
Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure
(2 hours)
Building Features for Computer Vision in Microsoft Azure
(1 hours)
Building Features for Computer Vision in Microsoft Azure
(1 hours)
Reducing Complexity in Data in Microsoft Azure
(2 hours)
Reducing Complexity in Data in Microsoft Azure
(2 hours)Save this collection
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