https://www.w.databeam.eu/ 2026-06-05T16:33:07+00:00 https://www.w.databeam.eu/ https://www.w.databeam.eu/_media/logo.png text/html 2023-12-15T13:22:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/analytiques?rev=1702646562&do=diff Modèles analytiques Auto Regressive Integrated Moving Average text/html 2023-11-14T14:01:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/applicatif?rev=1699970490&do=diff Modèle Applicatif text/html 2023-12-15T13:23:25+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/arima?rev=1702646605&do=diff ARIMA Forecasting time series 1. ARIMA and SARIMA are both statistical models used for forecasting time series data, where the goal is to predict future points in the series. 2. Business Uses: I got my start with ARIMA using it to predict sales demand (demand forecasting). But ARIMA and forecasting are also used heavily in econometrics, finance, retail, energy demand, and any situation where you need to know the future based on historical time series data. text/html 2023-12-15T15:01:11+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/causalml?rev=1702652471&do=diff Causal ML A/B Testing and Causal Inference are stuck in the dark ages. Enter Causal ML - a new suite of uplift modeling and causal inference methods. Let's dive in. 1. Causal machine learning (ML) refers to a branch of machine learning that focuses on understanding and modeling the causal relationships in data, rather than just finding correlations. text/html 2023-11-14T14:08:38+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/donnees?rev=1699970918&do=diff Modèles de données text/html 2023-11-14T14:07:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/interactions?rev=1699970829&do=diff Modèles d'intéractions text/html 2023-11-14T14:07:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.w.databeam.eu/documentation/les-modeles/physiques?rev=1699970879&do=diff Modèle physique