The EM algorithm finds maximum-likelihood estimates for model parameters when you have incomplete data. The “E-Step” finds probabilities for the assignment o...
We live in a world that is inundated with data. Data science and machine learning (ML) techniques have come to the rescue in helping enterprises analyze and make sense of...
A system is an entity that behaves based on the intrinsic characteristics of its components and the external forces that drive these elements to react as a result of thei...
Professional athletes know the importance of developing opposing or complementary muscles (quadriceps and hamstrings, biceps and triceps). These complementary muscles a...
As an academic discipline, the rate of maturation for data science should be measured in light years. Although it’s really only about 10 years old as a field of st...
Heating, ventilation, and air conditioning of buildings accounts alone for nearly 40% of the global energy demand [1]. The need for Energy Savings has become increas...
Sustaining industry averages and benchmarks are the antithesis of innovation and a great way to ensure average performance. Doing whatever everyone else is doing is a “...
This article was written by Mohammad Sajid. Statistical cluster analysis is an Exploratory Data Analysis Technique which groups heterogeneous objects(M.D.) into ho...
At the time of writing, I’m a 52 year-old working in the fields of mathematics and data science. In mathematics, that makes me well-seasoned (and probably well-tenu...
Over the last few years, Excel has been redesigned from the ground up. Currently, Microsoft is making the new Excel core-features available to every user, regardless of y...