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.
Many business process management organizations have deployed and even are working to deploy RPA (Robotics Process Automation) solutions. While a simple business workflow, which includes… Read More »Common errors during large RPA implementations and how to avoid
“Data Scientist” is 2020’s equivalent of the rocket scientist of the 1950’s: mysterious, sexy, and well-paid. But are you actually a “scientist”? While “data science” isn’t… Read More »You're a Data Artist, not a Data Scientist
This article was written by Andrey Nikishaev. Today I will show you very simple but powerful example of how to count traffic capacity with the… Read More »Tutorial: Counting Road Traffic Capacity with OpenCV
Often touted as one of the top jobs of the 21st century, a data scientist is an increasingly common requirement across firms of different sizes… Read More »The Most Important Aspects of a Data Science Career
Bernouilli lattice processes may be one of the simplest examples of point processes, and can be used as an introduction to learn about more complex… Read More »Bernoulli Lattice Models – Connection to Poisson Processes
Poor address data is a complex data quality challenge that affects customers, businesses, and mailing service. Each year, millions of dollars get wasted in resolving… Read More »Why Address Standardization and Validation Matters & What You Can Do About It
Summary: This blog is part II of a series showcasing management and analytics of the daily U.S. Covid-19 case/death data published by the Center for Systems… Read More »Johns Hopkins Covid-19 Data and R, Part II, data.table functions and graphics, plus R-Naught.
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
