This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
by Mike Thurber and John Elder, Ph.D. By tracking anonymized mobile phone location data and COVID-19 case reports for many countries with different policies, we studied… Read More »Lockdowns Knock Down the Spread of COVID-19, but Only to a Point (and only early on)
This article is chunk from one of my blog posts on Arima time series forecasting with Python It is a pretty extensive tutorial and until and… Read More »5 Most Popular Measures For Capturing Forecasting Error For Time Series
Misleading graphs are abound on the internet. Sometimes they are deliberately misleading, other times the people creating the graphs don’t fully understand the data they… Read More »Misleading Graphs Part 1: Avoid These Common Mistakes
The messiest job of the 21st century The interview process is likely the most daunting task a data scientist will face in their career. The… Read More »The Problem with Data Science Interviews
Data gathering to keep a competitive advantage over other businesses will drive additional profit growth, especially in the e-commerce industry. Unfortunately, sending too many requests… Read More »Staying Block-Free While Scraping Large E-commerce Sites
Because launching an online business has little to no initial cost, aspiring entrepreneurs will likely face a number of rivals who may try to undercut… Read More »Competitor Monitoring for Price Strategy and Product Planning
The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling. That’s because models that try to replicate reality in… Read More »A Fundamental Theorem for Epidemiology
Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few… Read More »New Probabilistic Approach to Factoring Big Numbers
Industry 4.0 or the fourth industrial revolution is predicted to revolve around data. Organizations that will thrive this revolution will be the ones that will… Read More »Data Analytics and Artificial Intelligence: Together Driving the Organization of Today
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to… Read More »Don't Acquire a Company Until You Evaluate its Data Quality
