Description: Join Hayley to dive deeper into advanced configuration settings for machine learning models. Configuring a machine learning model can be a critical step in harnessing its true potential. One AI does an excellent job assisting in building models, but sometimes, it doesn’t get everything quite right. By digging into settings such as dimensionality reduction, estimator configuration, upsampling, and per column interventions, users can tailor their models to extract maximum insights from their data. This customization isn't just about fine-tuning performance, but also enhances the relevance and accuracy of predictions which helps in finding actionable insights. The modules do not need to be watched in any particular order and you can skip around as you please.
Module Type: Functional & Foundational
Level: Advanced
Audience: Model creators & managers
Prerequisites: "Data Preprocessing", "One AI Recipes", "One AI Exploratory Data Analysis (EDA) Report", "One AI Results Summary", & "Model Refinement" modules. The "Global Settings Module Series" may also be helpful, but is not explicitly required.
Run time: ~10-15 minutes per module
All transcripts can be found attached at the bottom of the page.
Dimensionality Reduction
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
01:27 - Dimensionality & Dimensionality Reduction Overview
04:54 - Dimensionality Impacts on Models
07:16 - Configuration Options in One AI
10:20 - Default Configuration in One AI
11:02 - Configuring Dimensionality Reduction in One AI
13:32 - Conclusion & Thanks
Estimator Configuration
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
01:18 - Overview of Estimators
02:37 - Estimators Available in One AI
02:54 - Estimators Available in One AI: Classification Estimators
06:23 - Estimators Available in One AI: Regression Estimators
10:25 - Default Settings in One AI
12:10 - Estimator Configuration in One AI
13:32 - Conclusion & Thanks
Upsampling
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
01:20 - Overview & Significance of Upsampling
04:09 - Methods & Ratios Available in One AI
07:15 - Default Settings in One AI
07:41 - Configuring Upsampling in One AI
09:02 - Conclusion & Thanks
Per Column Interventions
Module Sections:
00:00 - Intro, Topics Covered, & Learning Outcomes
01:22 - Per Column Intervention Overview
03:15 - Per Column Interventions Available in One AI
07:22 - Configuring in One AI
08:59 - Conclusion & Thanks
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