Bayesian Optimization
Bayesian “methods” are becoming increasingly more popular for modelling and data analyses. They express things...
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Bayesian “methods” are becoming increasingly more popular for modelling and data analyses. They express things...
Read More...Non-Newtonian fluids, unlike their more predictable Newtonian counterparts, exhibit behaviours that vary with shear rate...
Read More...Often, we want to describe a process using a model. Having collected some data, we...
Read More...This post was originally published in two parts which have been combined below. Part 1...
Read More...Rheology, the scientific study of material flow and deformation, plays a pivotal role in the...
Read More...A large number of industrial and geophysical fluids exhibit a yield stress, where a certain...
Read More...Data analysis can often involve the equivalent of looking for a needle in a haystack...
Read More...In addition to random forests, another popular tree-based ensemble model is Gradient Boosted Trees. The...
Read More...When slurries are transported along pipelines and launders, issues can arise from solids settling within...
Read More...A decision tree is a simple classification algorithm. For a given data point, it starts...
Read More...A process model can be a valuable tool, providing increased control and consistency, improved efficiency,...
Read More...Data can be expensive to obtain. When this data is naturally clustered or hierarchical, it...
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