Data mining, statistics, & AI
Analytica provides built-in functions for data exploration and analysis, including quick summaries, descriptive statistics, regression, and Monte Carlo simulation. Here are some example applications that include the implementation of classification trees, artificial intelligence, and multilayer machine learning methods.
Pi Day comparison: Monte Carlo vs Latin hypercube vs Sobol sampling
This blog will be visiting the dart-throwing method of estimating Ï€ and comparing how fast or slow different sampling techniques converge to the actual value of Ï€. The sampling techniques…
Statistical analysis for decision support tools with A/B testing
Like retail storefronts with well-dressed mannequins, many internet-facing businesses seek to design their webpages with artistry and easily usable services to meet their goals.
Standard deviation or standard error
Figuring out what people mean is important. Are they talking about standard deviation? Or about standard error? Or do they consider the two things to be equivalent?
Data modeling without tears: perils & pitfalls to avoid
If a model is to yield a result, it needs data. Data are described by a data model, sometimes very simple (‘year’); sometimes more complex (energy consumption by type of energy, ...
