Full notes Summaries Practice exam Courses

Introduction Machine Learning Development Lifecycle Developing ML Solutions with Amazon SageMaker AI Sources of ML Models Machine Learning Models Performance Evaluation Model Deployment Fundamental Concepts of MLOps Conclusion

Developing ML solutions

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Introduction

This course covers the ML lifecycle and the AWS services for each stage, where ML models come from, how to evaluate model performance, how to deploy models, and why MLOps matters for moving models into production and keeping them there.

Principles of Human-Centered Design for Explainable AI

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Machine Learning Development Lifecycle

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