What is machine learning?

Machine learning (ML) is a subcategory of artificial intelligence AI that allows software applications to become more accurate at predicting outcomes and drawing conclusions without being explicitly programmed.

Machine learning algorithms use historical data as input to learn for themselves and to predict new output values. The Process of teaching the Software is called building a model.

Machine learning model

Typically the process of building a machine learning model consists of training the model based on our data then packaging and validating that model if we are happy with the results, we can deploy those models as a web service then monitoring those web services and retraining the model to get even better results.

Azure machine learning features

Notebooks – Written in Python and R
Automated ML – run multiple algorithms/parameters combinations, choose the best model
Designer – graphical interface for no-code development
Data & Compute – management of storage and compute resources Pipelines – orchestrate model training, deployment and management tasks

Why azure machine learning?

-Simplify building models with automated machine learning

-Easily scale-out model training in the cloud

-Use any python open-source frameworks & tools

-Manage workflows with DevOps for machine learning

-Simple deployment to the cloud and the edge