Locally Linear Embedding Example 1

Summary

So we've talked about both the learning side and the query side of the Welcome to this detailed exploration of ** this is one of dimension reduction methods in machine learning. Andrew Relstab explains how locally linear embedding preserves the global geometry of high-dimensional manifolds when reducing them to lower-dimensional spaces. By analyzing local relationships between nearest neighbors, this nonlinear technique overcomes limitations found in methods PCA. So let's take a look at the implementation of the - [Instructor] So we've now discussed two phases of the learning algorithm for - [Instructor] We've just finished talking about the first phase of the We're onboarding Databricks engineers and architects at various levels of expertise, for several new projects with our clients. Introduction, discussion, and illustration of Instructor of course: Prof. Mark Crowley Teaching assistant and presenter of slides: Benyamin Ghojogh Data and Knowledge ...