Azure ML Studio: Overview, Data Importing, and Workspace Guide

This report provides an introductory overview of Azure Machine Learning Studio (Azure ML Studio), a cloud-based, drag-and-drop tool for building, testing, and deploying predictive analytical models. It details the background of Microsoft Azure and the evolution of Azure ML Studio, highlighting its integration with the Cortana Intelligence Suite. The report explains the concept of machine learning, its history, and the applications of ML Studio, including data transformation and predictive model development. It compares Azure ML Studio (Classic) to the current version, outlining key differences in features like compute targets and model management. The core focus is on data uploading procedures, covering workspace setup, signing in, and importing data from various sources. The report also discusses data formats used in Azure ML Studio and provides an example using a bike buyer's dataset, emphasizing the platform's ability to handle different data types. The report is targeted toward students and provides a detailed guide on how to get started with data uploading in Azure ML Studio.