Common ML use cases and algorithmsMost ML projects fall into one of 6 types of problems
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Model building and deployment checklist50 steps checklist from problem definition to post-deployment monitoring
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Frequently asked ML questionsAnswers to questions asked by data scientists, software engineers, product managers, project managers and executives
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ML costsEstimate the costs you will incur during project execution, deployment and maintenance
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Model experimentation and evaluationYou will need to build, deploy and test multiple model variants to know what works
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3 stages of MLCreate the model (data scientist), deploy the model (ML engineer), automate (DevOps)
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ML using SageMakerExecute an ML project in theory, from data preparation through model monitoring
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Real time vs Batch inferencingShould you deploy to a model to infer in real time, or invoke pre-stored predictions?
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Managing ML projectsThere are 7 stages in managing an ML project
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Machine Learning Basics
Common use cases, categories, toolbox, quick start guide, FAQs, resources and more