Unusual Applications of Data Science
A round up of unusual applications of data science from recent academic journals, Four examples far outside the usual realm of finance, professional services, and… Read More »Unusual Applications of Data Science
A round up of unusual applications of data science from recent academic journals, Four examples far outside the usual realm of finance, professional services, and… Read More »Unusual Applications of Data Science
Interpretive analytics (IA) takes you beyond number crunching. AI is the key to getting involved in strategic decision making. Strategies for using interpretive analytics in… Read More »Interpretive Analytics in One Picture
Bad data is worse than no data at all. What is “good” data and where do you find it? Best practices for data analysis. There’s… Read More »What is Good Data and Where Do You Find It?
A significant portion of social media content uses Algorithmic Filtering (AF). AF results in issues with fake news, polarizing opinions. A tweak to AF may… Read More »Tweaking Algorithmic Filtering to Combat Fake News
Recent news reports highlight a shrinking job market for data scientists Faulty data analysis seems to be behind the headlines Tips to avoid common mistakes… Read More »Data Science Job Market Shrinking? Not So Fast
Ensemble forecasting is a popular choice to improve predictions. The method has been widely used to model various aspects of the current pandemic. Ensembles may… Read More »Ensemble Forecasts: The Future of Modeling Pandemics?
Statistics comes in two flavors: Bayesian and Frequentist, Both methods have their opponents and proponents, You should learn both to enhance your modeling. In statistical… Read More »Why You Need to Learn Bayesian AND Frequentist Statistics
A negative Covid-19 test result had very little meaning in 2020. A new tool allows you to better interpret the meaning of a negative test… Read More »Clearing up the Covid-19 Test Accuracy Debate with Data Science
Statistical analysis is poorly misunderstood by many, resulting in array of problems. There are many ways to ruin your data analysis. 4 of the less… Read More »4 Common Data Analysis Mistakes to Watch Out For
An interesting application of Benford’s and Zipf’s Laws to fraudulent Covid-19 data was published recently on the peer-reviewed PLOS-ONE website. The study, titled On the authenticity… Read More »Fraudulent Covid-19 Data and Benford's Law