--- title: what is scoring or inferencing? description: what is scoring or inferencing? --- [Skip to content](https://help.datasciencedojo.com/migration/what-is-scoring-or-inferencing#main-content) English Show submenu for translations [Customer portal](https://help.datasciencedojo.com/tickets-view?hsLang=en) ![DSD main logo.png\]](https://help.datasciencedojo.com/hs-fs/hubfs/DSD%20main%20logo.png?height=40&name=DSD%20main%20logo.png) - [Default HubSpot Blog](https://help.datasciencedojo.com/blog) Open main navigation Close main navigation - [Default HubSpot Blog](https://help.datasciencedojo.com/blog) - English Show submenu for translations - [Customer portal](https://help.datasciencedojo.com/tickets-view) - Go to datasciencedojo.com Go to datasciencedojo.com How can we help? - There are no suggestions because the search field is empty. 1. [Help Center](https://help.datasciencedojo.com/migration?hsLang=en) 2. [Machine Learning](https://help.datasciencedojo.com/migration/machine-learning?hsLang=en) # what is scoring or inferencing? Machine learning (ML) inference is the process of running live data points into a machine learning algorithm (or “ML model”) to calculate an output such as a single numerical score. This process is also referred to as “operationalizing an ML model” or “putting an ML model into production.” When an ML model is running in production, it is often then described as artificial intelligence (AI) since it is performing functions similar to human thinking and analysis. Machine learning inference basically entails deploying a software application into a production environment, as the ML model is typically just software code that implements a mathematical algorithm. 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