One AI Functional Knowledge Track

Description: Start here if you already have a good handle on machine learning, but want to learn how to apply this knowledge to conduct machine learning in One Model. You will learn about creating, editing, interpreting, managing, and visualizing machine learning models in One Model.

Please note that modules should be watched in order, as each builds upon the previous ones. Optional modules are not required to understand the general concepts, but can add extra flavor. They are included in the list to indicate the most logical sequence for viewing.

Time to Complete: ~5 hours 

Modules

1.  Welcome to One AI Academy

Introduction to One AI 

1.  What is One AI?
2.  Optional: One Model Security & One AI

Machine Learning 101

1.  Data Preprocessing
2.  Cross-Validation
3.  Automated Machine Learning (AutoML)
4.  Model Deployment

Machine Learning Modeling in One Model

1.  One AI Recipes
2.  Generative Attributes
3.  Scheduling Models & Data Augmentations
4.  Voluntary Attrition Risk Model 
5.  Optional: New Hire Failure Risk Model
6.  Optional: High Performer Likelihood Model
7.  Optional: Promotion Classification Model 
8.  Optional: Custom Regression Model (Salary Prediction)
9.  Optional: One AI Machine Learning Model Troubleshooting Guide

Interpreting Models in One Model

1.  SHAP
2.  One AI Exploratory Data Analysis (EDA) Report
3.  One AI Results Summary
4.  Classification Model Evaluation
5.  Regression Model Evaluation

Refining Models in One Model

1.  Model Refinement
2.  Global Settings Module Series
3.  Advanced Configuration Module Series

One AI Model Metric & Storyboard Creation

1.  Optional: Creating Metrics & Storyboards for Attrition Risk Models
2.  Optional: Creating Metrics & Storyboards for New Hire Success / Failure Risk Models
3.  Optional: Creating Metrics & Storyboards for High Performer Likelihood Models

Embedded Insights

1.  Optional: Introduction to Embedded Insights 
2.  Optional: One AI Forecasting
3.  Optional: One AI Table Insights