Part 2:Getting Started with Redshift ML

Part 2 begins with an overview of Amazon Redshift ML, then dives into how to create various machine learning models using Amazon Redshift ML.

By the end of Part 2, you will have an understanding of how to create a model by simply running a SQL command, the difference between supervised and unsupervised learning, and how to solve classification, regression, and clustering problems.

This part comprises the following chapters:

• Chapter 4, Leveraging Amazon Redshift Machine Learning
• Chapter 5, Building Your First Machine Learning Model
• Chapter 6, Building Classification Models
• Chapter 7, Building Regression Models
• Chapter 8, Building Unsupervised Models with K-Means Clustering