Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands

Table of Contents

1. Introduction to Redshift Serverless
2. Data Loading and Analytics on Redshift Serverless
3. Applying Machine Learning in Your Data Warehouse
4. Leveraging Amazon Redshift Machine Learning
5. Building Your First Machine Learning Model
6. Building Classification Models
7. Building Regression Models
8. Building Unsupervised Models with K-Means Clustering
9. Deep Learning with Redshift ML
10. Creating Custom ML Models with XGBoost
11. Bring Your Own Models for in Database Inference
12. Time-Series Forecasting in your Data Warehouse
13. Operationalizing and Optimizing Amazon Redshift ML Models