Articles by Hamed

Hot news detection using Wikipedia

June 29, 2015 | Hamed

Wikipedia is, indeed, one of the largest free access crowdsourcing [1] sources of information in today's world. Every day, thousands of people land on its pages to get information about different topics. Moreover, many machine learning algorithms (including text mining, semantic web, etc.) get their input from Wikipedia; for example, Google’...
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Simple Regime Change Detection with t-test

May 21, 2015 | Hamed

It is always fun to find trend in time series data. But what about the scenarios where the trend in the time series changes. Detecting the point of this trend change can be quite beneficial. For example, if you can immediately detect the change in revenue regime of a company ... [Read more...]

Bayesian network in R: Introduction

February 15, 2015 | Hamed

Bayesian networks (BNs) are a type of graphical model that encode the conditional probability between different learning variables in a directed acyclic graph. There are benefits to using BNs compared to other unsupervised machine learning techniques. A few of these benefits are:It is easy to exploit expert knowledge in ... [Read more...]

Goodness of fit test in R

January 26, 2015 | Hamed

As a data scientist, occasionally, you receive a dataset and you would like to know what is the generative distribution for that dataset. In this post, I aim to show how we can answer that question in R. To do that let's make an arbitrary dataset that we sample from ... [Read more...]

stacked plot in R

January 18, 2015 | Hamed

Consider the following example: there is a three-stage truck maintenance pipeline. Initially, when a Truck comes to the maintenance service, it is added to the first stage and its status in the pipeline is set to "New". When the technicians start working on it, for diagnosis the problem and removing ... [Read more...]

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