Data Science – Model Cross-Validation
When modeling data, it is important to validate the model and to understand how accurate...
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When modeling data, it is important to validate the model and to understand how accurate...
Read More...A time series is a collection of values corresponding to known points in time, e.g.,...
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...
Read More...Machine Learning (ML) and Artificial Intelligence (AI) are at the forefront of many technologies. ML...
Read More...Stochastic Process Simulations and Variability Analysis In addition to knowing how inputs affect the average...
Read More...Many of the systems and processes we work with for our clients can be modeled...
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