Some months ago, booking.com joined the ginger group of brands to combine artificial intelligence (AI) with mobile to get a headsup in anticipating a customer’s purcha...
Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can hel...
How machines process and understand human language Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our to...
Working with real data means that you need to get real insight for your business; don’t let the essential information slip out of your grasp – the world of ma...
Tableau is an innovative system of business intelligence enterprise-class, which can be used in both conventional and complex investigations: from visualization of questi...
This article was written by Kevin Hartnett. The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that th...
In a previous post, I have provided a discussion of model stacking, a popular approach in data science competitions for boosting predictive performance. Since then, the ...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
This article was written by Laura Ellis. One of the reasons why I love R is that I feel like I’m constantly finding out about cool new packages through an ever-growi...
This article was written by Natalie Wolchover. Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go cha...