Analytica > Data mining, statistics, & AI > Page 2

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.
Computer programming in English (Part 2)
In a previous article (part 1), we introduced the new paradigm of computer programming in English and demonstrated one example. In this article, we continue our examination of this new…
Computer programming in English (Part 1)
We explore a new paradigm for programming computers directly in English without any formal coding language at all. We do this by prompting a Large Language Model (LLM) to act as the…
Pi Day comparison: Monte Carlo vs Latin hypercube vs Sobol sampling
This blog will be visiting the dart-throwing method of estimating π and comparing how fast or slow different sampling techniques converge to the actual value of π. The sampling techniques…
Book review: decision making under uncertainty
World Cup Soccer. How much does randomness determine the winner?
Statistical analysis for decision support tools with A/B testing
Standard deviation or standard error