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.
In part 1 here, we introduced an original class of point processes, generalizing the Poisson process which is a limiting case, in a simple and intuitive… Read More »Machine Learning Inference for Point Processes: A General, Simple Introduction with Simulations
A few decades back the job role called data scientists didn’t exist. There were employees who used to analyze, organize, and clean the data. But… Read More »Top Programming Languages for Data Science in 2022
Update: Part 2 of this article is now available, here. In this article, original stochastic processes are introduced. They may constitute one of the simplest… Read More »A Gentle, Original Approach to Stochastic Point Processes
The probability distributions introduced in this article generalize what is known as infinite convolutions of centered Bernoulli or Rademacher distributions. Some of them are singular… Read More »A New Class of Non-standard Probability Distributions
With more than 40.000 searches happening in Google per second, Google Trends is a powerful tool that allows us to visualize searching behavior and uncover… Read More »Step by Step Guide to Build a Google Trends Scraper Using PyTrends
When you build a business with a vision to build the best product, it becomes immensely difficult to follow through without knowing how it’s performing… Read More »5 Reasons To Use Power BI For Business Analytics
This article is part of a series about fun problems, offered with solutions. The previous one can be found here. This new problem falls in… Read More »Fun Mathematical Problem in Stochastic Geometry: Random Triangles
I am not a medical doctor, only a doctor in statistical science. Yet much of the political crisis has its origin rooted in data and… Read More »Covid: Predictions for the Next Ten Years
A hundred years of modeling didn’t help forecast the extent of the current pandemic. Hundreds of thousands of deaths could have been prevented with better… Read More »The Future of Pandemic Modeling
Summary Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of… Read More »SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)
