This blog will cover the following “Future of Smart” initiative topics: Create a common definition or description of what it means to become “smart” and rally the...
I loved playing StarCraft, though I seldom played against other humans (my sons in particular, because they absolutely kick my butt). But ah, there is finally revenge f...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Introduction Agriculture is a major segment powering the Asian economy. A small transformation in agricultural outcomes can have a huge impact on 2 dimensions – economi...
Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet an...
Data is rampant in the Internet of Things (IoT) Age, during which the exponential growth of data has outpaced the capacity of traditional computing. It has reached maturi...
Every business challenge that is to be solved with a data-driven decision has a data universe behind it. This data universe is the set of data that could be captured that...
The question of how to structure or arrange data in order to gain worthwhile insights is quite different from the issue of what data to include or how it should be analyz...
I originally started writing this notebook to serve as an introduction decision trees. It’s a description of the “1-rule” algorithm which I think is wor...
The Jupyter notebook at this link contains a tutorial that explains how to use the lxml package and xpath expressions to extract data from a webpage. The tutorial consist...