Outlier Detection using Apache Spark Solution Sometimes an outlier is defined with respect to a context. Whether a data point should be labeled as an outlier depends on the associated context. For a bank [...]
Detecting Anomaly in Web Server Logs with Microsoft Azure Cloud – For FREE and at one-tenth the effort! Every website has web server logs which record the intricate details of site visitors – their [...]
When we first started hearing about machine learning in the early 2010s, it seemed scary at first. But once it was explained to us (and we realized how technology is already being used to provide us [...]
This year at Smart City Expo World Congress, the industry-leading event for urbanization, Microsoft will bring city leaders and solution experts from around the world to demonstrate innovative technologies currently empowering the digital transformation of smart cities. This [...]
The World Economic Forum report suggests new technologies have the capacity to both disrupt and create new ways of working. Photograph: Alamy Stock Photo The rise of machines, robots and algorithms in the workplace stands to [...]
Runner slides into home base (Photo by Lambert/Getty Images) By now, you have heard of "Moneyball." Maybe you have even read the book by Michael Lewis (The Art of Winning and Unfair Game), seen the movie that [...]
The eyes may be the window to the soul, but the face is the door through which we can enter the future. OK, we’re a bunch of underpaid MBAs, not starving poets, but that [...]
Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, science journals, e-books, learning content, news and social media [...]
What is the relationship between machine learning and optimization? — On the one hand, mathematical optimization is used in machine learning during model training, when we are trying to minimize the cost of errors between our [...]
Using the FeatureSelector for efficient machine learning workflows Feature selection, the process of finding and selecting the most useful features in a dataset, is a crucial step of the machine learning pipeline. Unnecessary features decrease [...]
