Who should read this blog: Someone who is new to linear regression. Someone who wants to understand the jargon around Linear Regression Code Repository: https://github.co...
Logistic regression is typically used when the response Y is a probability or a binary value (0 or 1). For instance, the chance for an email message to be spam, based on ...
I often tell my younger coworkers that the most boring way to start a blog post is, “This post is about …” — unless of course you rap it! Yo! This post is abou...
Bayes’ Theorem is a way to calculate conditional probability. The formula is very simple to calculate, but it can be challenging to fit the right pieces into the puzzl...
What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distri...
The EM algorithm finds maximum-likelihood estimates for model parameters when you have incomplete data. The “E-Step” finds probabilities for the assignment o...
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...
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 “...