Perform Cloud Data Science with Azure Machine Learning

Course Code:
MS20774

Duration:
5 days
9.00am to 5.00pm
Location:
80 Jurong East Street 21 #04-04
Devan Nair Institute
Singapore 609607
Course Fees:
S$3,000 (excl of G.S.T)
2019 Course Dates
22 – 26 Jul 2019
30 Sep – 4 Oct 2019
25 – 29 Nov 2019
None of the published dates will work for you? Speak to our training consultants for a private tuition arrangement or a closed door training.
Do note that this course listed is a Microsoft Digital Class (DMOC Class). You are required to bring your own device.

Course Overview

The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning and to provide an introduction for the use of machine learning with big data tools such as HDInsight and R Services.

Course Objectives

• Explain machine learning, and how algorithms and languages are used
• Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio
• Upload and explore various types of data to Azure Machine Learning
• Explore and use techniques to prepare datasets ready for use with Azure Machine Learning
• Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning
• Explore and use regression algorithms and neural networks with Azure Machine Learning
• Explore and use classification and clustering algorithms with Azure Machine Learning
• Use R and Python with Azure Machine Learning and choose when to use a specific language
• Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models
• Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models
• Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning

Course Outline

Module 1: Introduction to Machine Learning

Module 2: Introduction to Azure Machine Learning

Module 3: Managing Datasets

Module 4: Preparing Data for use with Azure Machine Learning

Module 5: Using Feature Engineering and Selection

Module 6: Building Azure Machine Learning Models

Module 7: Using Classification and Clustering with Azure machine learning models

Module 8: Using R and Python with Azure Machine Learning

Module 9: Initializing and Optimizing Machine Learning Models

Module 10: Using Azure Machine Learning Models

Module 11: Using Cognitive Services

Module 12: Using Machine Learning with HDInsight

Module 13: Using R Services with Machine Learning

Click Here for full course outline

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