The Norvig model refers to the philosophy and approach to machine learning proposed by Peter Norvig, a renowned figure in the field of artificial intelligence (AI) and machine learning (ML). This approach emphasizes the importance of data and statistical analysis in the development of machine learning models.

• natural language processing
• computer vision
• recommendation systems
• predictive modeling

For instance, Norvig’s model suggests that a machine learning algorithm should be trained on a large dataset of labeled examples to learn the patterns and relationships between input and output features. By leveraging this data-driven approach, the algorithm can make accurate predictions on new, unseen data.

• The importance of data literacy in your data strategy.