Chapter 14: BigQuery ML Tips and Best Practices
BigQuery ML has the great advantage of democratizing the use of Machine Learning (ML) for data and business analysts. In fact, BigQuery ML enables users without any programming experience to implement advanced ML algorithms. Even though BigQuery ML is designed to simplify and automatize the creation of a ML model, there are some best practices and tips that should be adopted during the development life cycle of a ML algorithm to obtain an effective performance from it.
Having a background in data science can help us in further improving the performance of our ML models and in avoiding pitfalls during the implementation of a use case. In this chapter, we'll learn how to choose the right technique for each specific business scenario and will learn about the tools we can leverage to improve the performance of ML models.
Following a typical ML development life cycle, we'll go through the following topics:
- Choosing...
