Below is an extract of a 10-page cheat sheet about data science, compiled by Maverick Lin. This cheatsheet is currently a reference in data science that covers basic conc...
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...
This article is a solid introduction to statistical testing, for beginners, as well as a reference for practitioners. It includes numerous examples as well as illustratio...
Here we describe a simple methodology to produce predictive scores that are consistent over time and compatible across various clients, to allow for meaningful comparison...
It all depends on the classes that you attended. Some are worth listing, some are best not to mention. Here I review of few of these data science curricula, and the impre...
This article was written by Jason Brownlee. Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the numbe...
This article was written by Enda Ridge. Data Scientists need to communicate without jargon so customers understand, believe and care about their recommendations. Here is...
This article was written by Vitaly Shmatikov. Machine learning is eating the world. The abundance of training data has helped ML achieve amazing results for object reco...
It wasn’t too long ago when somebody said to me, “You do reports when you get to doing them.” To me, this position is most defensible if the reports are for bookk...
This is the first article in what will be a three-part series: “How to make your mark on the world as a talented, socially conscious data scientist.” In thi...