Unsupervised learning is really useful for understanding how people shop and what they like. Here are some important benefits:
Market Segmentation: This means figuring out different groups of customers. When businesses know who their customers are, they can create better ads. For example, by grouping customers with similar buying habits, they can show the right ads to the right people.
Pattern Discovery: Special programs can find hidden patterns in shopping data. For example, if we look at what people buy, we might see that those who care about health often choose organic foods.
Data Compression: Some methods, like Principal Component Analysis (PCA), help make big amounts of data smaller while keeping important information. This makes it easier for businesses to see trends and connections.
In short, unsupervised learning helps businesses make smart choices about marketing and developing products!
Unsupervised learning is really useful for understanding how people shop and what they like. Here are some important benefits:
Market Segmentation: This means figuring out different groups of customers. When businesses know who their customers are, they can create better ads. For example, by grouping customers with similar buying habits, they can show the right ads to the right people.
Pattern Discovery: Special programs can find hidden patterns in shopping data. For example, if we look at what people buy, we might see that those who care about health often choose organic foods.
Data Compression: Some methods, like Principal Component Analysis (PCA), help make big amounts of data smaller while keeping important information. This makes it easier for businesses to see trends and connections.
In short, unsupervised learning helps businesses make smart choices about marketing and developing products!