We investigate a large class of auto-correlated, stationary time series, proposing a new statistical test to measure departure from the base model, known as Brownian moti...
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless c...
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...
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...
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...
Back in 2017, we posted a problem related to stochastic processes and controlled random walks, offering a $2,000 award for a sound solution, see here for full details. Th...