About this course
Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.
Introduction to AI foundations: Machine learning course
46sReviewing the course scenarios
2m 39sExploring machine learning
3m 11sExamining how machines learn
3m 36sBreaking down the machine learning lifecycle
3m 46sFraming machine learning problems
4m 10sIdentifying a pre-built model
3m 52sUnderstanding tools used to train a model
4m 18sObtaining data
4m 37sVisualizing and understanding data
4m 51sUnderstanding feature engineering
4m 56sDemo: Performing feature engineering
5m 58sUnderstanding learning algorithms and model training
4m 8sExploring learning algorithms for classification
4m 27sReviewing learning algorithms for regression
5m 23sExamining additional learning algorithms
4m 25sTraining a custom machine learning model
5m 2sDemo: Training a custom machine learning model
7m 39sExploring common classification metrics
4m 49sUnderstanding the confusion matrix
4m 4sExploring common regression metrics
5m 14sDetermining feature importance
4m 25sCombating bias
3m 38sStructuring a machine learning pipeline
3m 59sDemo: Designing and building a pipeline
5m 4sYour machine learning journey
1m 59s