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...
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...
According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will repl...
Introduction “The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions”. Marvin Min...
Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking may prove mor...
There are dozens of different hypothesis tests, so choosing one can be a little overwhelming. The good news is that one of the more popular tests will usually do the tric...