The Data-Driven Weekly #1.7
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… Read More »The Data-Driven Weekly #1.7
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The World of Data, as We Know It
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… Read More »The World of Data, as We Know It
How to create a Twitter Sentiment Analysis using R and Shiny
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.… Read More »How to create a Twitter Sentiment Analysis using R and Shiny
2016 Data Management Predictions
Tis the season for 2016 predictions, and Tamr has several to offer thanks to the forward-thinking minds of our co-founders, executives and advisors including: 1)… Read More »2016 Data Management Predictions
12 Most Popular Data Science Articles in 2015
Each of these articles were viewed between 15,000 and 100,000 times, and were shared countless times. They were posted on Data Science Central in 2015.… Read More »12 Most Popular Data Science Articles in 2015
Predicting the Future – What Supply Chain Management Does
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,… Read More »Predicting the Future – What Supply Chain Management Does
6 Online Tools for Open Geo-Data
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… Read More »6 Online Tools for Open Geo-Data
Simple Analytics is Good for Business
A research paper by renowned consultancy Aberdeen Group reveals that “[data] complexity is often best answered with simplicity”. Several new surveys conducted by the group… Read More »Simple Analytics is Good for Business
Will 2016 be the Year you Clean up your Dirty Data?
For ever it seems, we’ve been warning about the dangers of low quality data. Our warnings have been reinforced and echoed by some of the… Read More »Will 2016 be the Year you Clean up your Dirty Data?
Global Big Data Market to Develop Rapidly by 2018:
The global big data market is expected to develop rapidly by 2018, with major contribution from the North America regional market. In the past few… Read More »Global Big Data Market to Develop Rapidly by 2018: