# AI

#### Machine Learning Model

A group of specialized mathematical functions that represent what a machine learning system has learned from the training data. Together they represent the steps and intelligent machine will take to arrive at a decision. [Read more](https://docs.microsoft.com/azure/machine-learning/overview-what-is-azure-ml?WT.mc_id=aiml-11552-ayyonet#what-is-machine-learning).

#### Classification

&#x20;A task in which a model must predict what specific known group(s) a new input might belong to.[ Read more](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/multiclass-boosted-decision-tree?WT.mc_id=aiml-11552-ayyonet).

#### Regression

&#x20;A task in which a model must predict a numerical value for a specific scenario. [Read more](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/boosted-decision-tree-regression?WT.mc_id=aiml-11552-ayyonet).

#### Confidence

&#x20;Certainty level of the result driven in percentages.

| Term              | Definition                                                                                                                                                                                                                                                                        |
| ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Cross-lingual** | **Cross**-**lingual** text mining is a general category denoting tasks and methods for accessing the information in sets of documents written in several languages, or whenever the language used to express an information need is different from the language of the documents. |


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