Summary
We have learned that UL is a versatile tool that can uncover hidden insights from data and applies to many business use cases, such as market segmentation, anomaly detection, and feature extraction.
By grasping the capabilities of UL, decision-makers can harness it to uncover valuable insights, streamline processes, and make data-driven decisions that impact the bottom line.
Throughout this chapter, we’ve covered the fundamental concepts of UL, outlined its key steps, and explored some of its most prevalent real-world applications. We’ve also discussed methods for evaluating the performance of UL models in a business setting.
Building on this foundational knowledge of ML, the next chapter will take a closer look at strategies for interpreting and assessing ML models, equipping you with the tools needed to effectively communicate insights and justify decisions based on your ML projects.
