Description: Join Austin to learn about cross validation, the technique used to assess the performance of machine learning models on new, unseen data. Learn how this process also helps prevent overfitting!
Module Type: Foundational & Functional
Level: Intermediate
Audience: All
Prerequisites: "Data Exploration" module & it's prerequisites
Run time: ~4 minutes
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
00:53 - Overview of Cross Validation
01:59 - Importance of Cross Validation
03:36 - Cross Validation in One AI
04:04 - Conclusion & Thanks
The module transcript and slide deck are attached below as PDFs.
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