You're reading from Machine Learning with BigQuery ML Create, execute, and improve machine learning models in BigQuery using standard SQL queries

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800560307

Length 344 pages

Edition 1st Edition

Languages

Python

Tools

BigQuery

Concepts

Machine Learning

Author (1):

Alessandro Marrandino

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Introduction and Environment Setup

2. Chapter 1: Introduction to Google Cloud and BigQuery FREE CHAPTER

3. Chapter 2: Setting Up Your GCP and BigQuery Environment

4. Chapter 3: Introducing BigQuery Syntax

5. Section 2: Deep Learning Networks

6. Chapter 4: Predicting Numerical Values with Linear Regression

7. Chapter 5: Predicting Boolean Values Using Binary Logistic Regression

8. Chapter 6: Classifying Trees with Multiclass Logistic Regression

9. Section 3: Advanced Models with BigQuery ML

10. Chapter 7: Clustering Using the K-Means Algorithm

11. Chapter 8: Forecasting Using Time Series

12. Chapter 9: Suggesting the Right Product by Using Matrix Factorization

13. Chapter 10: Predicting Boolean Values Using XGBoost

14. Chapter 11: Implementing Deep Neural Networks

15. Section 4: Further Extending Your ML Capabilities with GCP

16. Chapter 12: Using BigQuery ML with AI Notebooks

17. Chapter 13: Running TensorFlow Models with BigQuery ML

18. Chapter 14: BigQuery ML Tips and Best Practices

19. Other Books You May Enjoy

Creating a BigQuery dataset

Before jumping into the BigQuery syntax, it is necessary to create a new BigQuery dataset that will employ the data structures created in the next sections. For each hands-on chapter, we'll create a new dataset to segregate each use case and maintain a logical separated structure:

Access the BigQuery UI by browsing to the GCP Navigation menu from the GCP console and selecting the BigQuery service.
After selecting the right GCP project in the navigation menu of the BigQuery UI, it is possible to click on the Create Dataset button:
Figure 3.1 – Creation of a new BigQuery Dataset
In the overlay window that appears on the right of the screen, choose the Dataset ID that you prefer and leave all the other options configured with default values. To host the data structures of this chapter, we suggest using the name 03_bigquery_syntax. Then, select Create dataset: