Analyzing the quality of your software is crucial to any business. The process appears towards the end of your software development lifecycle but indeed decides the fate ...
Business analytics is here to stay, and most ventures are wrapping their heads around the idea. Numerous data gets collected from various interactions among clients and p...
Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast ...
Bayesian Machine Learning (part -5) Introduction: Expectation-Maximization In this blog we are going to see how Expectation-maximization algorithm works very closely. Thi...
Artificial Intelligence and Machine Learning are accelerating and refining various industries. One of the most rapidly developing and progressive domains is Facial Recogn...
Stock trading has one of the most complex and complicated dynamics in the present day world. In today’s time, multiple algorithms and researches have been produced to u...
In my previous post, I discussed the relationship between role conflict and performance. I suggested that all things being equal, role conflict might be the primary det...
Visualizing census data could not be easier thanks to few great packages in R. Not that in Python you could not do spatial analysis/visualization of census data, but ce...
In my many years as a data scientist, I’ve spent more time doing forecast work than any other type of predictive modeling. Often as not, the challenges have involve...
Introduction “The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions”. Marvin Min...