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My end-to-end Machine Learning Course - Udemy (2026): ...

k-means clustering is one of the most popular unsupervised learning algorithms in machine learning. in this video, you'll learn ...

In this video, I'm joined by Peri Rocha to walk through a real Microsoft Fabric scenario where a simple storage decision ...

Do you have lots of data in your Microsoft Fabric Warehouse? Want to speed up your queries that have where predicate values?

A clear visual explanation of the Expectation Maximization (EM) algorithm for Gaussian Mixture Models, showing how ...

Yes Yes Yeah Okay So welcome Yeah So welcome to the KT session on clustering So first of all we'll start with what is clustering ...

Learn the end-to-end process for a simple three-node Tungsten Cluster installation, from architecture and topology recap to ...

Understand K-Means Clustering from scratch in this lecture. We explain partition based clustering, the full K-Means algorithm ...

Gain a clear, practical understanding of Tungsten Cluster's architecture and operations, including the roles of the Manager, ...

Learn how to monitor Tungsten Cluster health effectively and troubleshoot issues across the Manager, Replicator, and Connector ...

Understand Composite Active-Active (CAA) multi-cluster topology in Tungsten Cluster, where multiple sites are simultaneously ...

Learn how to deploy Tungsten Cluster using the Tungsten Machine Image (TMI) on AWS and GCP, including what's included, ...

In this lecture, I cover two powerful clustering algorithms that overcome K-Means limitations: Agglomerative Hierarchical ...

When downtime isn't an option, standard RabbitMQ clustering isn't enough. Traditional RabbitMQ clusters rely on majority ...

Speaker: Ryan Vandermeulen (NOAA) Fish-PACE Hackweek 2025 https://fish-pace.github.io/hackweek-2025.

Learn the essential maintenance workflows for Tungsten Cluster, including safe start/stop procedures, isolating nodes, updating ...

Learn how to design, take, and restore backups for Tungsten Cluster so you can meet realistic RPO/RTO goals and recover ...

In this video, we break down K-Means Clustering using simple, real-life examples and clear visuals. Learn how K-means works ...

Suppose we have a dataset of 2D points: Data Points: (2, 3), (5, 8), (1, 1), (8, 8), (7,2), (6,5) We want to apply K-Means with K = 2, ...

Understand Composite Active-Passive (CAP) multi-cluster topology in Tungsten Cluster, including architecture, when to use it for ...