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

Exploring the BigQuery public datasets

Collecting large volumes of data is fundamental to developing machine learning use cases. This kind of activity is considered one of the most painful jobs in the data management field. In fact, it requires tools and best practices to regularly monitor and gather information from the physical world to translate it into data. Thanks to the Cloud Public Datasets Program, we are allowed to use data that has already been collected and ingested into BigQuery.

The BigQuery public datasets are available in the Datasets section of the Google Cloud Marketplace and are publicly available and ready to use for all GCP users. A list of all the datasets is reachable at this URL: https://console.cloud.google.com/marketplace/browse?filter=solution-type:dataset. The datasets are provided not only by Google but by large companies and public organizations that contribute to the maintenance of this multidisciplinary set of around 200 datasets. Some of the contributors...