Abstractive summarization
AI life cycle
business context
business problems
data cleaning and preprocessing
data collection and understanding
data science problems
deployment/productionization and model maintenance
exploratory data analysis
feature engineering and selection
model building, tuning and selection
model testing and validation
prediction and insights
scenarios
solution approach/architecture design
Amazon Web Services (AWS)
Artificial intelligence (AI)
concept
paradigm
Artificial neural network (ANN)