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 ...
This article was written by Lixun Zhang. As a data scientist, I have experience with R. Naturally, when I was first exposed to Microsoft R Open (MRO, formerly Revolution ...
Preface : Violence is a social phenomenon and has a central role to play in assessing societal developments. Does the trend of subcategories of crime indicate a shift in ...
We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influenc...
Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. Am...
by Mike Thurber, Principal Scientist, Elder Research Three weeks ago, our Brief Is the Spread of the COVID-19 Coronavirus Being Slowed looked at the impact of social dist...
by Peter Bruce, President & Founder, Statistics.com Although there are frequent reports in the news media of young people contracting serious cases of COVID-19 and ev...
by Mike Thurber, Principal Scientist, Elder Research A key issue for COVID-19 response policies moving forward is the asymptomatic rate – people who have the virus ...