Description: Join Hayley to learn how to use your preexisting data to create new generative attributes through some form of transformation, combination, or aggregation. These new features provide the model with additional, more meaningful information that might not be explicitly captured by the original features. This often results in stronger performance and richer insights.
Module Type: Functional
Level: Intermediate
Audience: Model creators & managers
Prerequisites: "One AI Recipes" module. "Feature Engineering"& "One AI Exploratory Data Analysis (EDA) Report" modules are recommended, but not required.
Run time: ~20 minutes (including the optional Section 6 - Step-by-Step Generative Attribute Building Examples)
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
01:43 - Generative Attributes Overview
03:35 - Types of Generative Attributes
07:04 - Creating & Managing Generative Attributes
08:59 - Components to Build a Generative Attribute
14:17 - Step-by-Step Generative Attribute Building Examples
17:50 - Validating Generative Attributes in One AI
19:38 - Conclusion & Thanks
The module transcription is attached below as a pdf.
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