What’s the #1 enemy to profitable machine learning, AI & data-driven initiatives? Dirty data. And who has had data on their agenda for a decade but are still not de...
Last year while working on some natural language projects, I happen to stumble on the D3 charts. I was impressed by the quality of the charts and the amount of informatio...
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 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...