Unsupervised learning

An intrepid exploration of the unknown, unsupervised learning is a form of machine learning in which algorithms seek to identify patterns, relationships, or structures within raw, unlabeled data, without the guidance of explicit outcomes or target variables, providing a foundation for discovering hidden insights and unveiling the mysteries hidden within the data's depths.

Example

In finance, unsupervised learning techniques, such as clustering algorithms, can be employed to segment customers based on their spending habits, account balances, and other behavioral traits. By grouping customers with similar characteristics, financial institutions can tailor their products, services, and marketing strategies to better cater to the unique needs and preferences of each segment, fostering a more personalized and engaging customer experience.