Bayesian Machine Learning (part – 1) Introduction As a data scientist, I am curious about knowing different analytical processes from a probabilistic point of view....
This article broadly describes the capabilities that constitute an enterprise analytics program or competency. The intention initially, was to provide tips on mitigating ...
In the beauty industry, chatbots are seen to solve much more than tangible problems. During the initial phase, its usage was straightforward and cautious – Personal...
Machine Learning has seen a tremendous rise in the last decade, and one of its sub-fields which has contributed largely to its growth is Deep Learning. The large volumes ...
In an earlier description of clustering algorithms we described an algorithm by which locally optimum partitions and center of gravity of multi-dimensional vectors/points...
A myriad of options exist for classification. In general, there isn’t a single “best” option for every situation. That said, three popular classificatio...
In the statistical literature, for ordinal types of data, are known lots of indicators to measure the degree of the polarization phenomenon. Typically, many of the widely...
Summary: Forrester has just released its “New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019” report on leading stand-alone automated machine learn...
The domestic economy gets directly and indirectly impacted by the Oil and Gas Industry. It is pretty much noticeable that the oil and gas prices directly affect the econo...
Imagine…imagine that you have been challenged to play Steph Curry, the greatest 3-point shooter in the history of the National Basketball Association, in a game of 1...