Description
e-learning: 70-774: Perform Cloud Data Science with Azure Machine Learning
Description:This e-learning covers how to perform cloud data science with Azure Machine Learning, including how to prepare data for analysis, develop models, and manage Azure Machine Learning services and other services, such as HDInsights or SQL Server R. It will help prepare you for exam 70-774: Perform Cloud Data Science with Azure Machine Learning.
Prerequisites:In addition to their professional experience, students who attend this course should have:
Programming experience using R, and familiarity with common R packages
Knowledge of common statistical methods and data analysis best practices.
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of relational databases.
Course outcome:
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 particular 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 recommendÂdaÂtion application, and describe the use of neural networks with Azure Machine Learning
Explore and use HDInsight with Azure Machine Learning
Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services
Who should attend:The primary audience for this course is people who wish to analyze and present data by using Azure Machine Learning. The secondary audience is IT professionals, Developers, and information workers who need to support solutions based on Azure machine learning.
Module overview:
e-learning courses:
Cloud Data Science: Introduction to Azure Machine Learning
Cloud Data Science: Deploying Models with Azure Machine Learning Studio
Cloud Data Science: Consume Models and APIs Using Azure Machine Learning Studio
Cloud Data Science: Importing and Exporting in Azure Machine Learning Studio
Cloud Data Science: Summarize Data with Azure Machine Learning Studio
Cloud Data Science: Data Cleanup with Azure Machine Learning Studio
Cloud Data Science: Transforming Data in Azure Machine Learning Studio
Cloud Data Science: Optimize and Validate Models in Azure Machine Learning Studio
Cloud Data Science: Microsoft Cognitive Toolkit and Azure Machine Learning
Cloud Data Science: Azure AI Gallery and Azure Machine Learning
Cloud Data Science: Virtual Machines & HDInsight
Cloud Data Science: SQL Server & Azure Machine Learning
Tips & Tricks
Optional: MeasureUp Exam simulation
