This article was written by Ryan Grim. Ryan is the Washington bureau chief for The Huffington Post and an MSNBC contributor. He is a former staff reporter with Politico....
In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk�...
Summary: What are the earliest seeds of artificial intelligence? To whom do we owe thanks for starting us down this path? Many modern researchers to be sure, but th...
There’s no better source for tricks of the analytics trade than Dr. John Elder, the established industry leader renowned as an acclaimed training workshop instructo...
This article was written by Natasha Latysheva. Here we publish a short version, with references to full source code in the original article. Our internal data scienti...
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...