6
Learning BQ/BQML, TensorFlow, and Keras
After building the GCP and Python foundations in part one and understanding the ML concepts and development process in part two, we are now entering part three of the book: Mastering ML in GCP. We will start by learning how Google does ML for structured data and the Google ML frameworks TensorFlow and Keras. In this chapter, we will cover the following topics:
- GCP BQ
- GCP BQML
- Introduction to TensorFlow
- Introduction to Keras
In recent years, relational databases have been widely used in many enterprises, and thus structural data is a big portion of the big data available for many businesses. Google’s BQ and BQML play a big role in relational/structural data processing and analytics.
GCP BQ
As we mentioned ...
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