Machine Learning

First interaction Artificial Neural Network

Reading Time: 4 minutes I hated biology in my school days and loved mathematics. After a long period of time I get to learn something which combines both mathematics and biology together, that is Artificial Neural Network short for ANN, inspired by biological Neural network. Though you might find it weird, that is how I would like to define the artificial neural network. When we say biology here, it Continue Reading

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Spark – LDA : A Complete example of clustering algorithm for topic discovery.

Reading Time: 6 minutes In this blog we will be demonstrating the functionality of applying the full ML pipeline over a set of documents which in this case we are using 10 books from the internet. So lets start with first thing first.. What is Clustering ? Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a Continue Reading

Understanding Support Vector Machines

Reading Time: 3 minutes [Contributed by Raghu from Knoldus, Canada] One of the important and popular classification techniques among Machine Learning algorithms is Support Vector Machines. This is also called large margin classification. Support Vector Machine technique results in a hyperplane that separates and hence classifies samples into two distinct classes. SVM results in such a plane that not only separates samples but does it with maximum separation possible. Continue Reading

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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