Summary: In this last article in our series on recommenders we look to the future to see how the rapidly emerging capabilities of Deep Learning can be used to enhance r...
In this article, we discuss a general framework to drastically reduce the influence of outliers in most contexts. It applies to problems such as clustering (finding centr...
Businesses want insight and action, not data. Big data does not create value. But analytics and insights do! And they don’t have to be complex, expensive, or even big. ...
Accurate multichannel campaign attribution has stumped the online marketing industry for years. But what if the solution is to stop worrying about attribution, and move t...
By Rubens Zimbres. Rubens is a Data Scientist, PhD in Business Administration, developing Machine Learning, Deep Learning, NLP and AI models using R, Python and Wolfram ...
This article was written by Stephanie and Tony on R2D3. In machine learning, computers apply statistical learning techniques to automatically identify patterns in dat...
Summary: There are many sources of packaged recommenders including the more comprehensive Digital Personalization platforms. It’s also possible to code your own. ...
Contributed by Tyler Knutson. He enrolled in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between July 5th to Septembe...
It has become clear over the last few months that mainstream media on both sides are stretching the truth, if not reporting fake stories first published in outlets such a...
Contributed by Bernard Ong. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23r...