Cloud Machine Learning Engineering and MLOps
Week 2 Quiz
1.
Question 1
What is AutoML?
You got it! AutoML allows for codeless Machine Learning training.
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2.
Question 2
What type of problem could you solve with Cloud AutoML?
You got it! Many Cloud AutoML solutions focus on Computer Vision.
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3.
Question 3
Why would an organization want to use AutoML vs tuning Hyperparameters themselves?
In many cases AutoML derived models are more accurate than models tuned by humans
Removing human tasks that are easily automatible is one key advantage of AutoML
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4.
Question 4
What is Ludwig?
You got it! Ludwig is an open-source AutoML system.
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5.
Question 5
What is an advantage of AutoML?
You got it! Speeding up training through automation is a key advantage.
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6.
Question 6
How could AutoML help explainability of a model?
Automated Explainability tools
You got it! Many explainability tools can be automated.
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7.
Question 7
Where is a popular location designed to download pre-trained models?
You got it! TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere.
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8.
Question 8
Which are examples of AutoML systems?
Google Cloud AutoML Vision is an example of a Computer Vision AutoML solution
AWS Sagemaker AutoPilot
Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models
Azure ML has built in AutoML
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9.
Question 9
What is an example of a ML model deployment target for AutoML?
Mobile devices support ingestion of AutoML models like CoreML
Some databases have built-in AutoML like Google BigQuery
10.
Question 10
What is an example of an AutoML solution by Apple?
You got it! Create ML is an automation framework for Machine Learning from Apple.