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.
Which data model will work best for big data?
In the old days (say, pre-Apple iPhone), you could be cool about your data model. Relatively speaking, there wasn’t that much variety in the data to be had in legacy databases or ...
Standard deviation for normal people
Standard deviation (SD) is a mathematical way of indicating what is normal or what is exceptional. Some people get very creative with the concept. Applications include anything ...
The future of business analytics: mobility, collaboration & big data
Imagine a world where business analytics are as common on a manager’s PC or mobile device as, say, word-processing applications. Picture business information nervous systems ...
Estimation of mutual information
A measure of association is a function that rates the strength of statistical dependence between two variables. In casual talk, people often express this idea by asserting that ...
Odd Couples: how ice skaters & fireflies tell us something about the language of the universe
The universe has always possessed the language it needs to conduct its own affairs. I don’t think it could be otherwise. Because my daughter participates in competitive figure ...
Influence diagrams
Learn how Analytica's influence diagrams enhance decision-making. Discover the power of visual modeling to identify key decisions, uncertainties, and objectives.
