K-Means Clustering

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

A sample ML Pipeline for Clustering in Spark

February 9, 2016September 10, 2018Apache Spark, Big Data and Fast Data, Spark, Studio-ScalaK-Means Clustering, Machine Learning, Machine Learning Pipeline, ML Pipelines, Spark MLLib

Reading Time: 2 minutes Often a machine learning task contains several steps such as extracting features out of raw data, creating learning models to train on features and running predictions on trained models, etc. With the help of the pipeline API provided by Spark, it is easier to combine and tune multiple ML algorithms into a single workflow. Whats is in the blog? We will create a sample ML pipeline Continue Reading