MLJS01 - Fundamentals of Azure Machine Learning Service

Overview

This workshop provides a basic introduction to machine learning which include the different techniques used for time-series and classification analyses, basic statistical models used in machine learning and other important basic knowledge relating to machine learning. In addition, this workshop provides a broad introduction to Microsoft Azure Machine Learning Service, a cloud service which supports training, deploying and managing machine learning models on the cloud.

Objectives

This is a general introduction to Microsoft Azure Machine Learning Service, a cloud service which supports training, deploying and managing machine learning models on the cloud.

Outline

• Types of Azure accounts
• Setting up Azure Machine Learning service workspace
• Setting up quick experiments with a cloud and local Jupyter notebooks
• Demonstrate keys concepts (creation and management of workspace, data preparation, model training, tracking and monitoring experiments, deploying models, consuming and monitoring web services, security)
• Demonstrate basic tutorials on regression analysis and classification problems

Requirements

• Basic knowledge of Python programming
• Participants will need to bring their own laptops

Mode of Training

Classroom

Who Should Attend?

Individuals with or without prior knowledge about machine learning and want to have a quick and easy introduction to machine learning concepts with Azure Machine Learning Service.

Trainer

Alvin Chew is currently a Microsoft Asia Cloud Research Software Fellow and a final-year PhD candidate in School of Civil and Environmental Engineering, Nanyang Technological University.

Workshop Schedule