Will Machine Learning Replace Programming? A combination of faster machines, more multicore processors, and new algorithms have propelled machine learning to become the h...
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 ...
P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement ...
This is an unusual application of AI, it is not fiction, and it works! It started probably more than 30 years ago. Sometimes referred to as symbolic mathematics, and usua...
You don’t need a sophisticated model nor advanced machine learning techniques to quickly get a high level picture and trends for bottom-line business metrics. Not o...
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...
Here is a simple trick that can solve a lot of problems. You can not trust a linear or logistic regression performed on data if the error term (residuals) are auto-correl...
This simple introduction to matrix theory offers a refreshing perspective on the subject. Using a basic concept that leads to a simple formula for the power of a matrix, ...
This is another spectacular property of the exponential distribution, and also the first time an explicit formula is obtained for the variance of the range, besides the u...
So many fascinating and deep results have been written about the number (1 + SQRT(5)) / 2 and its related sequence – the Fibonacci numbers – that it would tak...
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