Business Excellence

Last update: Oct 17, 2017

In this post I will provide information on Azure Machine Learning (ML) Hands-on Labs training for developers, which we will be delivering in New York and other technology centers. After this training you will know how to create Azure Machine Learning experiment, select best ML model, convert the training experiment to a predictive experiment, and create application which will use the model.

The training consists of following labs.

1. Predict Individual’s Income >50K (Estimated: 1 hour).
2. Convert a training experiment into a predictive experiment in Azure ML by Mostafa Elzoghbi (Estimated: 30 minutes).
3. Consume an Azure ML web service using Visual Studio 2015 by Mostafa Elzoghbi (Estimated: 30 minutes).
4. Flight delay prediction by Todd Kitta. (Estimated: 3 hours) Start from Task 2. This model can be reused later in a separate Cortana Intelligence Suite End-to-End Training.

If you need more detailed instructions for self-placed training, you may also use Hands-on Labs from edX courses (videos with theory and quizzes are included).

1. DAT203.1x Data Science Essentials
2. DAT203.2x Principles of Machine Learning
3. DAT203.3x Applied Machine Learning

Prerequisites

Please install the below software:

• Activate your Azure account and bring your Microsoft account credentials. Don’t have a Microsoft account? Sign up now.
• If you do not have Microsoft Azure account, activate a free 30-day trial Microsoft Azure account, or if you subscribe to MSDN, activate your free Azure MSDN subscriber benefits.
• Preferred OS is Windows 10.
• Make sure that Visual Studio 2015 Community, Pro, or Enterprise is installed. Make sure that Office 2013 or later is installed. (Optional; alternatively, you may use Windows Data Science virtual machine in Azure).
• Create Azure ML workspace for free by signing up here.

Additional resources:

1. Azure Machine Learning (ML)
2. Cortana Intelligence Suite: Big Data and Advanced Analytics
3. Big Data Presentation Deck
4. Azure ML Data Camp Deck
5. Detailed Azure ML Hands-on-Labs

Next Steps:

1. Cortana Intelligence Suite End-to-End Training (Using the Flight Delay Prediction model in Azure-based solution).
2. Data Science with Microsoft R Hands-on Labs (Different ways of using R language).

Filed under: Hands-on Labs | Tagged: Azure Machine Learning |