1
Data Collection
Gathering relevant, representative datasets with quality considerations for completeness, accuracy, and relevance.
📚
Like gathering study materials for a comprehensive exam
→
2
Training
Algorithm learns patterns from training data through iterative improvement processes.
📖
Like studying for a test using practice problems
→
3
Prediction
Making predictions on new, unseen data with performance evaluation.
📝
Applying what you learned to solve new problems