Imagine you are responsible for maintaining the mean and variance of a dataset that is frequently updated. For small-to-moderately sized datasets, much thought might not be given to the method used for recalculation. However, with datasets consi...

Imagine you are responsible for maintaining the mean and variance of a dataset that is frequently updated. For small-to-moderately sized datasets, much thought might not be given to the method used for recalculation. However, with datasets consis...

ctypes is part of the Python standard library which provides C compatible data types and allows calling functions in shared libraries. It can be used to wrap libraries written in compiled languages from Python. In this post, we’ll demonstrate ho...

ctypes is part of the Python standard library which provides C compatible data types and allows calling functions in shared libraries. It can be used to wrap libraries written in compiled languages from Python. In this post, we’ll demonstrate ho...

ctypes is part of the Python standard library which provides C compatible data types and allows calling functions in shared libraries. It can be used to wrap libraries written in compiled languages from Python. In this post, we’ll demonstrate how...

I always had trouble spelling Dijkstra correctly until someone pointed out “It’s just D, followed by i-j-k, then stra”. Once it was pointed out that i-j-k is represented sequentially in alphabetical order, spelling Dijkstra becomes trival - almos...

Convolutional Neural networks (CNNs) have been found to be very effective at tasks such as facial recognition, video analysis, anomaly detections and semantic parsing. An image can be considered a graph with a very regular structure (i.e., pixel...

Convolutional Neural networks (CNNs) have been found to be very effective at tasks such as facial recognition, video analysis, anomaly detections and semantic parsing. An image can be considered a graph with a very regular structure (i.e., pixels...

Markov Chain Monte Carlo (MCMC) methods can be used to estimate the parameters of linear regression models. In this post, the distributional forms and algorithms associated with two Gibbs sampling approaches are outlined: the full conditionals ap...

Markov Chain Monte Carlo (MCMC) methods can be used to estimate the parameters of linear regression models. In this post, the distributional forms and algorithms associated with two Gibbs sampling approaches are outlined: the full conditionals a...