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.
Big data, a term that describes a huge volume of data that inundates businesses on a daily basis, has transformed many processes in numerous different… Read More »Why You Should Use Big Data Analytics in Recruitment
The main topic of the article is about backcasting a time series The article is explaining the mathematical structure and making a case study based… Read More »Backcast a Time Series for COVID-19 Truths
There was a time when businesses had to give index cards and other similar cards for their customers to fill as a survey. This was… Read More »How Big Data And AI Are Changing Email Marketing
Judea Pearl (left) and Donald Rubin (right). The 2 fathers of PO. (Photo shot in 2014 and pilfered by me from “The Book of Why”,… Read More »New chapter on (in) Rubin’s Theory of Potential Outcomes
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
Embedded analytics allow users to integrate business intelligence and its processes into another software application. Embedded real-time reports and dashboards allow end customers to cheque… Read More »Discover Data Trends with Embedded Analytics and Business Intelligence
Affiliate marketing is a mainstream strategy to drive deals and produce various income from it. It is exceptionally helpful for the two brands and partner… Read More »Application of Data Science in Affiliate Marketing
Many of the stages in a typical data science lifecycle have more to do with data than they do with science. Before the data scientist… Read More »How Data Virtualization Can Remove the Bottlenecks to 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
This is the second part of my article Spectacular Visualization: The Eye of the Riemann Zeta Function, focusing on the most infamous unsolved mathematical conjecture,… Read More »Deep visualizations to Help Solve Riemann's Conjecture
