Join PGP Data Science Deadline: August 2023

Data Science

Internet of Things (IoT)- An Overview

IoT (Internet of Things) is an advanced automation and analytics system which exploits networking, sensing, big data, and artificial intelligence technology to deliver complete systems for a product or service. These systems allow greater transparency, control, and performance when applied to any industry or system. IoT systems have applications across industries through their unique flexibility […]

Data Science

Of Algorithms and Audits

I start this series with a confession – to me, content is more important than form. I shall always prefer a semantically optimized algorithm to a catchy interface. An old timer, I often wonder how visualization and reporting tools came to be as much in demand amongst  budding data  scientists as the design and analysis […]

Data Science

Spark Vs Hadoop

  Before going to answer this question let me give you brief introduction of Spark and Hadoop. Spark: Apache Spark is an open source cluster computing system that aims to make data analytics fast (both fast to run and fast to write). It is developed in Scala (functional programming) which is suitable for distributed systems, […]

Data Science

Recommendation Systems

This blog post will give you a whirlwind tour of Recommendation Systems. Recommendation systems (sometimes referred to as a recommender system) are a subclass of information filtering system that seek to predict the ‘rating’ or ‘preference’ that a user would give to an item. Recommender systems are one of the most common applications of Big […]

Data Science

Use of Analytics In Health Care

Healthcare organizations garner humungous amount of data which includes both structured and unstructured data. The Electronic Health Record(EHR) provides structured data of a patient’s history of health conditions and prescriptions while the data collected from e-mail, social networking sites, doctors’ clinical notes are unstructured data. Some facts and figures  In 2012 worldwide digital health care […]

Data Science

Supply Chain Analytics: Why is it Important?

A supply chain is a system of organizations, people, activities, information, and resources involved in moving a product or service from a supplier to a customer. Supply chain activities involve the transformation of natural resources, raw materials, and components into a finished product that is delivered to the end customer. In sophisticated supply chain systems, used products may re-enter the supply chain […]