Summary: A new business model strategy based around intermediary platforms powered by AI/ML is promising the most direct path to fastest growth, profitability, and comp...
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 resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
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...
This article was written by Will Koehrsen. Here’s the complete code: just copy and paste into a Jupyter Notebook or Python script, replace with your data and run: The ...
I’m missing my Thursday evening Big Data MBA classes at the University of San Francisco School of Management (though I expect my students are glad that ordeal is over)....
In a previous blog-post we have seen how we can use Signal Processing techniques for the classification of time-series and signals. A very short summary of that post is...
In the late 1990s, AI rose to prominence. In 1997, IBM’s Deep Blue supercomputer grabbed headlines for defeating the world chess champion then, Garry Kasparov. We h...
Recently Kaggle master Kazanova along with some of his friends released a “How to win a data science competition” Coursera course. The Course involved a final...