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In this course, lea> how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to p...

Audience This course is intended for: A technical audience at an intermediate level Prerequisites We recommend that attendees of this course have the following prerequisites: Working knowledge of a programming language Course...

Goals Using Amazon SageMaker, this course teaches you how to: Prepare a dataset for training. Train and evaluate a machine learning model....

Prerequisites We recommend that attendees of this course have the following prerequisites: Working knowledge of a programming language Course Outline Business problem: Chu> prediction Load and display the dataset Assess features and determine which Amazon SageMaker algorithm to use Use Amazon Sagemaker to train, evaluate, and automatically tune the model Deploy the model Assess relative cost of errors

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Zpět ke kurzu

• Practical Data Science with Amazon SageMaker
• DataScript s.r.o.
• Jednotlivé termíny podobných školení
• Dotaz ke kurzu

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Platební podmínky pro účast na kurzu

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