MCSA: Machine Learning Boot-Camp Training in Flint
Enroll in or hire us to teach our MCSA: Machine Learning Boot-Camp class in Flint, Michigan by calling us @303.377.6176. Like all HSG
classes, MCSA: Machine Learning Boot-Camp may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it
is scheduled: Public Training Classes
Provided there are enough attendees, MCSA: Machine Learning Boot-Camp may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description |
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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
Course Length: 6 Days
Course Tuition: $3170 (US) |
Prerequisites |
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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:
Read and explore big data
Process big data
Build predictive models with ScaleR
Use R Server in different environments
Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning
Develop Machine Learning Models
Operationalize and Manage Azure Machine Learning Services
Use Other Services for Machine Learning
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