Instructor-led training

MCSA: Machine Learning Boot-Camp Training in Harrison, New Jersey

The MCSA: Machine Learning boot camp is 6 days of an intense deep dive into Microsoft Azure machine learning and Big Data with R Server and SQL R Services..

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What you'll learn

The MCSA: Machine Learning boot camp is 6 days of an intense deep dive into Microsoft Azure machine learning and Big Data with R Server and SQL R Services... After completing this boot camp, students will be able to: - Deploy HDInsight Clusters. - Authorizing Users to Access Resources. - Loading Data into HDInsight. - Troubleshooting HDInsight. - Implement Batch Solutions. - Design Batch ETL Solutions for Big Data with Spark - Analyze Data with Spark SQL. - Analyze Data with Hive and Phoenix. - Describe Stream Analytics. - Implement Spark Streaming Using the DStream API. - Develop Big Data Real-Time Processing Solutions with Apache Storm. - Build Solutions that use Kafka and HBase. - 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 recommendation 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

Prerequisites

Audience Profile Candidates for this exam are data scientists or analysts who process and analyze data sets larger than memory using R, or scientists or analysts who use Azure cloud services to build and deploy intelligent solutions. Candidates should have experience with R, familiarity with data structures, familiarity with basic programming concepts (such as control flow and scope), and familiarity with writing and debugging R functions. Candidates have a good understanding of Azure data services and machine learning and are familiar with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation. Candidates for this exam should have experience publishing effective APIs for knowledge intelligence

Course Outline

Exams Included:

Exam 70-773 : Analyzing Big Data with Microsoft R
Exam 70-774: Perform Cloud Data Science with Azure Machine Learning

Read and explore big data

Read data with R Server
Summarize data
Visualize data

Process big data

Process data with rxDataStep
Perform complex transforms that use transform functions
Manage data sets
Process text using RML packages

Build predictive models with ScaleR

Estimate linear models
Build and use partitioning models
Generate predictions and residuals
Evaluate models and tuning parameters
Create additional models using RML packages

Use R Server in different environments

Use different compute contexts to run R Server effectively
Optimize tasks by using local compute context
Perform in-database analytics by using SQL Server
Implement analysis workflows in the Hadoop ecosystem and Spark
Deploy predictive models to SQL Server and Azure Machine Learning

Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning

Import and export data to and from Azure Machine Learning
Explore and summarize data
Cleanse data for Azure Machine Learning
Perform feature engineering

Develop Machine Learning Models

Select an appropriate algorithm or method
Initialize and train appropriate models
Validate models

Operationalize and Manage Azure Machine Learning Services

Deploy models using Azure Machine Learning
Manage Azure Machine Learning projects and workspaces
Consume Azure Machine Learning models
Consume exemplar Cognitive Services APIs
Consume Vision APIs to process images, consume Language APIs to process text, consume Knowledge APIs to create recommendations

Use Other Services for Machine Learning

Build and use neural networks with the Microsoft Cognitive Toolkit
Streamline development by using existing resources
Perform data sciences at scale by using HDInsights
Perform database analytics by using SQL Server R Services on Azure
Deploy a SQL Server 2016 Azure VM, configure SQL Server to allow execution of R scripts, execute R scripts inside T-SQL statements

Training locations

MCSA: Machine Learning Boot-Camp training across the U.S. and beyond.

We provide MCSA: Machine Learning Boot-Camp training onsite and live online for organizations throughout the United States and internationally.

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