2 Getting started with the data set
This chapter covers
- Introducing a use case for machine learning
- Starting with object storage for serverless machine learning
- Using crawlers to automatically discover structured data schemas
- Migrating to column-oriented data storage for more efficient analytics
- Experimenting with PySpark extract-transform-load (ETL) jobs
In the previous chapter, you learned about serverless machine learning platforms and some of the reasons they can help you build a successful machine learning system. In this chapter, you will get started with a pragmatic, real-world use case for a serverless machine learning platform. Next, you are asked to download a data set of a few years’ worth of taxi rides from Washington, DC, to build ...
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