K-Means

K-Means-Algorithm

September 15, 2021September 15, 2021ML, AI and Data Engineering, MLOpsK-Means, K-Means Clustering, ml, MLOps, Unsupervised Learning

Reading Time: 3 minutes Machine Learning has gained popularity in the last couple of years and has witnessed an exponential rise in its usage. It gives a computer/machine to act without being explicitly programmed. Unsupervised learning is a technique to model the underlying structure or distribution in the data. It enables us to learn more about the data without providing any pre-assigned labels or scores for the training data. Continue Reading

Introduction to Machine Learning with Spark (Clustering)

October 22, 2015September 10, 2018Studio-ScalaApache Spark, Big Data, Big Data Analytics, cluster computing, K-Means, Machine Learning, scala, Spark

Reading Time: 2 minutes In this blog, we will learn how to group similar data objects using K-means clustering offered by Spark Machine Learning Library. Prerequisites The code example needs only Spark Shell to execute. What is Clustering Clustering is like grouping data objects in some random clusters (with no initial class of group defined) on the basis of similarity or the natural closeness to each other. The “closeness” Continue Reading