Examining how machines learn

Introduction to AI foundations: Machine learning course

Reviewing the course scenarios

Exploring machine learning

Breaking down the machine learning lifecycle

Framing machine learning problems

Identifying a pre-built model

Understanding tools used to train a model

Obtaining data

Visualizing and understanding data

Understanding feature engineering

Demo: Performing feature engineering

Understanding learning algorithms and model training

Exploring learning algorithms for classification

Reviewing learning algorithms for regression

Examining additional learning algorithms

Training a custom machine learning model

Demo: Training a custom machine learning model

Exploring common classification metrics

Understanding the confusion matrix

Exploring common regression metrics

Determining feature importance

Combating bias

Structuring a machine learning pipeline

Demo: Designing and building a pipeline

Your machine learning journey