AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling

Introduction

• Overview

1. Frame Business Problems as Machine Learning Problems

• Determine when to use and when not to use ML
• Know the difference between supervised and unsupervised learning
• Select from among classification, regression, forecasting, clustering, recommendation, and more

2. Select the Appropriate Model(s) for a Given Machine Learning Problem

• Select models
• SageMaker Canvas demo

3. Train Machine Learning Models

• Train validation test split, cross-validation
• Optimization
• Compute choice

4. Perform Hyperparameter Optimization

• Neural network architecture

5. Evaluate Machine Learning Models

• Avoid overfitting and underfitting
• Select metrics
• Compare models using metrics

Conclusion

• Conclusion