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

Chapter 2: Setting Up Your GCP and BigQuery Environment

The first steps of using a new public cloud provider can be complex, and sometimes you might feel overwhelmed by all the services and options in front of you. Cloud vendors offer a vast variety of components and resources to solve different use cases. With this plethora of modules, it is not easy to decide which service to use. Fortunately, to create and run a Google Cloud Platform (GCP) project, you don't have to have specific technical skills or a large budget to invest. Regardless of whether you are a private user or an employee of a large company, GCP offers the possibility to use its cloud services simply by creating an account and a project on the platform. It is also possible to leverage a free trial to get credits and test products for a limited period of time.

The topics covered in this chapter will help to create a solid foundation for your technical environment, and the tasks covered should be performed only...