The Machine Learning Process

This course will walk you through the major stages of a typical ML pipeline, including problem framing, data cleaning, data visualization and analysis, functional engineering, and model training and evaluation.
Course info
Level
Beginner
Updated
Oct 6, 2020
Duration
59m
Table of contents
The Machine Learning Process
Description
Course info
Level
Beginner
Updated
Oct 6, 2020
Duration
59m
Description

This course will walk you through the major stages of a typical ML pipeline, including problem framing, data cleaning, data visualization and analysis, functional engineering, and model training and evaluation. As a use case, we'll cover the key concepts and processes that have been implemented throughout Amazon's pipeline. Throughout the session, we will introduce different types of ML problems and the different categories of ML algorithms available. This training will familiarize you with the concept of phases in the ML pipeline and familiarize you with the key terms and definitions involved.

About the author
About the author

In collaboration with Amazon Web Services, Pluralsight customers may now access training built by AWS on the Pluralsight Skills technology platform.

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