06 - Implementation and Operations

Exam / AWS / MLS-C01 / Whizlabs

[MLS-C01] [IMPL and OPs] Build solutions

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Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance

Toolset SageMaker makes it simple to develop high quality models by enabling quick deployment at scale SageMaker provides the tools needed for machine learning in a single toolset that allo...

Posted by Oscaner on August 7, 2022

[MLS-C01] [IMPL and OPs] Introduction

_{-「Exam / AWS / MLS-C01 / Whizlabs / 06 - Implementation and Operations」}

Introduction of Machine Learning Implementation and Operations

Build solutions Performance To optimize the performance of your models, you can use Automatic Model Tuning to find the hyperparameters that will give you the optimal performance You can us...

Posted by Oscaner on August 7, 2022

[MLS-C01] [IMPL and OPs] Recommend and implement

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Recommend and implement the appropriate machine learning services and features for a given problem

Appropriate services Select from several AWS Services to implement the appropriate Machine Learning solution for your business problem Lex Build conversational interfaces into your applic...

Posted by Oscaner on August 7, 2022

[MLS-C01] [IMPL and OPs] Security

_{-「Exam / AWS / MLS-C01 / Whizlabs / 06 - Implementation and Operations」}

Apply basic AWS security practices to machine learning solutions

SageMaker Instances Jupyter Notebook Your SageMaker infrastructure uses EC2 instances dedicated for your use Can map your SageMaker resources to VPC so you can use your network controls ...

Posted by Oscaner on August 8, 2022

[MLS-C01] [IMPL and OPs] Deploy and Operationalize

_{-「Exam / AWS / MLS-C01 / Whizlabs / 06 - Implementation and Operations」}

Deploy and operationalize machine learning solutions with lab

Lifecycle Create your data Gather, engineer, transform Produce your model Build model and evaluate it Execute (operationalize) your model ...

Posted by Oscaner on August 8, 2022