There are numerous aspects of data science that determine a project’s success; from posing the right questions through to identifying and preparing relevant data, apply...
The Pragmatic Programmers just published my book Complex Network Analysis in Python. Recognize → Construct → Visualize → Analyze → Interpret. The book covers...
The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organizati...
Last weekend I went to attend one event hosted by GE digital in association with T-HUB and Idea labs. The event was about industrial IoT and Predix Platform developed by ...
This article was written by Jason Brownlee. Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. Th...
Summary: You’d think that the internet was the core of the digital economy but it’s not. Data science is the core without which the digital economy wouldn’t exist...
R language is the world’s most widely used programming language for statistical analysis, predictive modeling and data science. It’s popularity is claimed in ...
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...
This article was written by Dorian Pyle and Cristina San Jose on McKinsey&Company. Dorian Pyle is a data expert in McKinsey’s Miami office, and Cristina San Jos...
This article was written by Jennifer Langston. Co-authors include UW computer science and engineering professor Steve Seitz, undergraduate student and web developer Ev...