This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.
Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays.
By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
This course is intended for:
We recommend that attendees of this course have the following prerequisites:
In this course, you will learn how to:
DAY 1
Kursöversikt
29 450 kr
4 days
Distans
Fortsättning
Engelska
Slut i lager
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Allmänna Villkor.
Företagsanpassad kurs
Stockholm
Göteborg
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