Data science, by definition, is an interdisciplinary field which makes use of scientific processes, methods, systems, and algorithms for extracting insights and knowledge...
A Video Game? In R Shiny? For the last two years, RStudio has been organizing a competition to showcase the power and flexibility of Shiny as a framework for creating app...
The online conference, IBM Think 2020, was held in May 5-6 2020. During that conference, Dario Gil, IBM Research Director, was visibly, almost orgasmically, excited with ...
Using Google Mobility Data to Model Covid-19 Case Infection Rates Paul B. Parker, Ph.D. Introduction The question of how and when to open up the economy as Covid-19 rates...
Practical guide to understand, build, and execute data quality & cleaning process In the book ‘Bad Data Handbook’ Q Ethan McCallum has rightly said, “We all say...
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 spatial processes that...
Summary: This blog showcases the handling of daily data of cases/deaths from Covid-19 in the U.S. published by the Center for Systems Science and Engineering at Johns H...
We discuss a simple trick to significantly accelerate the convergence of an algorithm when the error term decreases in absolute value over successive iterations, with the...
We discuss a simple trick to significantly accelerate the convergence of an algorithm when the error term decreases in absolute value over successive iterations, with the...
This article was written by Suresh Kondamudi. Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging ...