Summary: Next time you bring up Artificial Intelligence and your non-data scientist friends all say “Watson” here’s some perspective you can offer. Their unders...
I teach AP Statistics in China at an International school and I believe it’s important to not only show my students how to do plots and inferential statistics on th...
Guest blog post byDante Munnis Digging through messy data and doing numerous calculations just so you can submit a report or arrive at the result of your quarterly busine...
Everyone’s talking of the Internet of Things (IoT) and the impact it’s started to make even on day to day lives. Yet, more than anything, it’s also becoming increas...
Whether you are a veteran programmer with experience dating back to Fortran, or a new college grad with all the latest technologies, if you use R eventually you will have...
This article on going deeper into regression analysis with assumptions, plots & solutions, was posted by Manish Saraswat. Manish who works in marketing and Data Scien...
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python’s most powerful open-source l...
By Dan Kellett, Director of Data Science, Capital One UK Over the past few months my blogs have attempted to demystify some of the techniques used by Data Scientists to b...
Summary: The most important developments in Deep Learning and AI in the last year may not be technical at all, but rather a major change in business model. In the spa...
This is a collection of 10 great GitHub repositories focusing on IPython, TensorFlow, Theano and related topics, for data scientists. The last one is not on GitHub. . The...