IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, ...
Photo: Nathaniel Welch It turns out I’m not the only one who thinks AI alarmism is a bit out of hand. The ITIF Luddite Award nominations include “alarmists, even incl...
Every year, human beings and our machines generate more data than we ever have before. We’ve all heard the famous estimation from Eric Schmidt when he was CEO at G...
Hi! I will show you how to create a simple application in R & Shiny to perform Twitter Sentiment Analysis in real-time. I use RStudio. First, I create a Shiny Project...
Summary: If you’re looking for a high growth, high demand area in data science where there is very high value and not many expert practitioners, look at time series f...
Geo Data in general is more than just maps, it describes objects and relations in space. Geo-data has wide range of applications. Here is the list of six sites which pr...
A research paper by renowned consultancy Aberdeen Group reveals that “[data] complexity is often best answered with simplicity”. Several new surveys conducted by the ...
IT Ops Challenge Each layer of technology in the data centre is becoming progressively more complex to control and manage. The average server environment now has thousand...
Many Machine Learning articles and papers describe the wonders of the Support Vector Machine (SVM) algorithm. Nevertheless, when using it on real data trying to obtain ...
Guest blog post by Tony Abraham, Nikhita Koul, Joe Morales. A data science exploration of rap lyrics and what it takes to make it onto the billboard charts. Originally ...