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

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

Further resources

Google Cloud products: https://cloud.google.com/products/
GCP overview: https://cloud.google.com/docs/overview
Why GCP is different: https://cloud.google.com/free/docs/what-makes-google-cloud-platform-different
Google regions and locations: https://cloud.google.com/about/locations
Google's sustainability program: https://sustainability.google/commitments/
AI Hub: https://aihub.cloud.google.com/?hl=en
Cloud Talent Solution: https://cloud.google.com/solutions/talent-solution?hl=en
BigQuery technical architecture: https://cloud.google.com/files/BigQueryTechnicalWP.pdf
BigQuery interfaces: https://cloud.google.com/bigquery/docs/interacting-with-bigquery
BigQuery ML: https://cloud.google.com/bigquery-ml/docs