Machine Learning Foundations Track

Description: Start here if you want to learn about machine learning, but do not want to learn about how to apply this knowledge in One AI quite yet. You will learn about different types of machine learning, various machine learning problems, the steps involved in machine learning, and much more! Please note that many of these modules will reference One AI or use it to demonstrate examples.

Modules should be watched in order, as each builds upon the previous ones. 

Time to Complete: 4 hours

Modules

1.  Welcome to One AI Academy

Machine Learning 101

1.  Introduction to Machine Learning
2.  Supervised Learning
3.  Data Exploration
4.  Data Preprocessing
5.  Feature Engineering
6.  Cross-Validation
7.  Classifications
8.  Regressions
9.  Automated Machine Learning (AutoML)
10.  Model Deployment
11.  Ethical Considerations in Machine Learning

Interpreting Models in One Model

1.  SHAP
2.  Classification Model Evaluation
3.  Regression Model Evaluation

Refining Models in One Model

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