In unsupervised learning, the algorithm goes through the data itself and tries to come up with meaningful results.The result might be, for example, a set of clusters of data points that could be ...

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

Let’s explore a few unsupervised learning algorithms: K-Means Clustering : K-Means Clustering is an algorithm that partitions data into K clusters based on similarity.

In 2006–2011, “deep learning” was popular, but “deep learning” mostly meant stacking unsupervised learning algorithms on top of each other in order to define complicated features for ...