Category: Root

How do Tensorflow- PyTorch- MXNet differ from AWS SageMaker?

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What are some components and/or steps in AWS Sagemaker?

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Sagemaker build- Sagemaker Train- Sagemaker deploy: what are these?

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Do boosting Bagging and Stacking relate to only one algorithm such as Decsion tree? How or how not?

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What do we achieve with boosting Bagging and Stacking?

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In real-life: will you choose the best algorithm? or you can just use the most familiar algorithm to you. What are the pros and cons.

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Will you invest too much time to select the best algorithm?

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What are some practical tools used for machine learning and related?

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What is Amazon Native AI/ML service called?

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Did you ever work with Sage Maker?

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