As data science professionals, we are often viewed as people who draw conclusions based only on data and minimize other factors. This perception usually becomes contentious when the insights and evidence from the data are inconsistent with somebody else’s “hypothesis.” Or we are confused and maybe frustrated when “qualitative” analysis trumps quantitative analysis. The next time […]
Dealing with Outliers in Big Data
by Angela Guess Lisa Morgan recently wrote in InformationWeek, “Data analytics has its own vocabulary that business decision-makers are under pressure to learn. Beware, though, because technical terms are often used loosely, sometimes to the detriment of individuals and their companies. An outlier is a good example. A lot of people are talking about outliers, […]
The Possibilities and Limitations of Sentiment Analysis
A recent interview with Matthew Russell, co-founder and Principal of Zaffra discusses the limitations and possible applications of sentiment analysis.