In this book, we focus on all three aspects of data science by explaining machine learning (ML) algorithms in business applications, demonstrating how they can be implemented in a scalable environment, and examining how to evaluate models and present evaluation metrics as business key performance indicators (KPIs). This book shows how Amazon Web Services (AWS) ML tools can be effectively used on large datasets. We present various scenarios where mastering ML algorithms in AWS helps data scientists to perform their jobs more effectively.
Let's take a look at the topics we will cover in this chapter:
- How AWS empowers data scientists
- Identifying candidate problems that can be solved using ML
- The ML project life cycle
- Deploying models
