Summary: Can AI take its victory lap in 2016? A lot depends on what you call AI and whether the consumer can perceive it. Image source: skymind.io If 2016 is to be ...
Summary: Picking an analytic platform when first starting out in data science almost always means working with what we’re most comfortable. But as organizations grow ...
Summary: Want to win a Kaggle competition or at least get a respectable place on the leaderboard? These days it’s all about ensembles and for a lot of practitioners t...
As a data scientist, your job doesn’t always make sense to others. Ever tried explaining what you do to your parents? They may nod their heads, but their eyes scream co...
Guest blog post by Vincent Granville AI was very popular 30 years ago, then disappeared, and is now making a big come back because of new robotic technolo...
As part of Data Science tutorial Series in my previous post I posted on basic data types in R. I have kept the tutorial very simple so that beginners of R programming ...
Summary: Proof of Concept projects are a popular place to start but they may be the wrong solution. To ensure success focus on Proof of Value and alignment with the c...
In this article, we revisit the most fundamental statistics theorem, talking in layman terms. We investigate a special but interesting and useful case, which is not discu...
Summary: AI and predictive analytics are now so prevalent in our day-to-day lives that it has raised the attention of the government, particularly about how certain gro...
Deep learning is all the rage. You hear about it in the news, you read it about it in the news and it’s all over popular culture as well. What’s more, it’s revoluti...