Machine Learning

Build your personalized movie recommender with Scala and Spark

Reading Time: 3 minutes In this blog I will explain what is a recommendation engine in general, and How to build a personalized recommendation model using Scala and Spark Collaborative filtering algorithm. What is a Recommendation Engine? I assume you’ve shopped online for books or visited movie review sites to pick top rated movies to watch. You must have been seen top rated movie lists which have been voted Continue Reading

A sample ML Pipeline for Clustering in Spark

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

Classification using AWS Machine Learning

Reading Time: 4 minutes One of the most common uses of Machine Learning algorithms is for the purpose of classification. Classification comes in couple of varieties. Binary classification is when we classify a given set of inputs into two classes. If there are more than 2 classes, then it is Multiclass classification. AWS ML supports both kinds of classifications. In order to use AWS Machine Learning, we downloaded a Continue Reading

Introduction to Machine Learning with Spark (Clustering)

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

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