Clustering
You are already familiar with the fact that children intuitively lump groups of things they see into classes, but did you know that one goal of unsupervised learning is essentially to allow computers to develop the same ability?

Since machines are not humans, it might seem impossible, but our experts from Sigmoid are ready to show you otherwise. It is not unimaginable for computers to label things and actually, they are programmed to do this for the Exploratory Data Analysis part.

This categorization is feasible as a result of Clustering - the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups (clusters).

On the 6th of September, at 18:00, Sigmoid warmly invites you to learn about two Clustering algorithms - K-Means and GMM, accompanied by our remarkable Machine Learning Engineer, Marius Purici. Marius will show you, as well, how to use them in client research and groping.

Hurry up and register to profit from this unique occasion that will lead you to the unbelievable lands of Machine Learning!

*The event will be held in Romanian
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