Amazon Machine Learning

Amazon Machine Learning is a service that allows to develop predictive applications by using algorithms, mathematical models based on the user’s data. Amazon Machine Learning reads data through Amazon S3, Redshift and RDS, then visualizes the data through the AWS Management Console and the Amazon Machine Learning API.

AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner. Named a leader in Gartner’s Cloud AI Developer services’ Magic Quadrant, AWS is helping tens of thousands of customers accelerate their machine learning journey.

Below are the cmdlets which are available with Amazon Machine Learning

Add-MLResourceTag                                  AddTags                                       
Get-MLBatchPrediction                              GetBatchPrediction                            
Get-MLBatchPredictionList                          DescribeBatchPredictions                      
Get-MLDataSource                                   GetDataSource                                 
Get-MLDataSourceList                               DescribeDataSources                           
Get-MLEvaluation                                   GetEvaluation                                 
Get-MLEvaluationList                               DescribeEvaluations                           
Get-MLModel                                        GetMLModel                                    
Get-MLModelList                                    DescribeMLModels                              
Get-MLPrediction                                   Predict                                       
Get-MLResourceTag                                  DescribeTags                                  
New-MLBatchPrediction                              CreateBatchPrediction                         
New-MLDataSourceFromRDS                            CreateDataSourceFromRDS                       
New-MLDataSourceFromRedshift                       CreateDataSourceFromRedshift                  
New-MLDataSourceFromS3                             CreateDataSourceFromS3                        
New-MLEvaluation                                   CreateEvaluation                              
New-MLModel                                        CreateMLModel                                 
New-MLRealtimeEndpoint                             CreateRealtimeEndpoint                        
Remove-MLBatchPrediction                           DeleteBatchPrediction                         
Remove-MLDataSource                                DeleteDataSource                              
Remove-MLEvaluation                                DeleteEvaluation                              
Remove-MLModel                                     DeleteMLModel                                 
Remove-MLRealtimeEndpoint                          DeleteRealtimeEndpoint                        
Remove-MLResourceTag                               DeleteTags                                    
Update-MLBatchPrediction                           UpdateBatchPrediction                         
Update-MLDataSource                                UpdateDataSource                              
Update-MLEvaluation                                UpdateEvaluation                              
Update-MLMLModel                                   UpdateMLModel                                 

You can also check other AWS Services, and each services cmdlets we are providing.

Click on this Link for an Single place, where you get all the PowerShell cmdlets sorted based on the modules.

You can also refer other blogs on PowerShell at link

You can also refer other blogs on Microsoft at link

And also if you required any technology you want to learn, let us know below we will publish them in our site

Like our page in Facebook and follow us for New technical information.

References are taken from Microsoft and AWS

Leave a Reply

Your email address will not be published. Required fields are marked *