Summary: As deep learning expands those capabilities are finding their way into the not-for-profit community in the service of conserving the earth’s wildlife and for...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Summary: Count yourself lucky if you’re not in one of the regulated industries where regulation requires you to value interpretability over accuracy. This has been ...
I listened once to an old professor talking about working out factorial ANOVA and multiple regression on paper, back in the day. He described a whole room full of papers,...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Contributed by Yannick Kimmel. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to ...
Actually, this is about two R versions (standard and improved), a Python version, and a Perl version of a new machine learning technique recently published here. We aske...
When dealing with time series, the first step consists in isolating trends and periodicites. Once this is done, we are left with a normalized time series, and studying th...
More and more people are talking about the new economy, and in particular, the role played by robots. As jobs are being eliminated and replaced by robots, governments are...
Summary: Looking beyond today’s commercial applications of AI, where and how far will we progress toward an Artificial Intelligence with truly human-like reasoning an...