Model Evaluation with Amazon SageMaker

Overview

Model Evaluation with Amazon SageMaker

Machine learning models play a critical role in AI solutions, requiring them to be highly performant and capable of generalizing new data. Evaluating these models is essential to ensure their effectiveness.

This comprehensive course offers in-depth knowledge on assessing machine learning models utilizing Amazon SageMaker.

In this course, Model Evaluation with Amazon SageMaker, you will develop the skills necessary to evaluate machine learning models' performance. The learning journey begins with exploring model evaluation using SageMaker Canvas, emphasizing crucial metrics.

Moving forward, you will delve into model assessment through the Python SDK, enhancing your evaluation capabilities. Additionally, the course covers the identification of model drift and the application of best practices to sustain and enhance your models continuously.

Upon completing this course, you will possess the expert knowledge required to maintain and ensure the efficacy of your machine learning models across various AI applications.

Provider:

Pluralsight

Categories:

Artificial Intelligence Courses, Machine Learning Courses, Amazon SageMaker Courses, Model Evaluation Courses

Subjects