Machine Learning with BigQuery ML
This book helps you accelerate machine learning model development with BigQuery ML. Throughout the book, you'll use various ML models to learn about BigQuery ML features and discover how to apply them to different business scenarios. This book will help you to extend existing SQL capabilities to leverage the full potential of machine learning.
Offered by
Difficulty Level
Intermediate
Completion Time
11h28m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, data analysts, data engineers, and anyone looking to get started with Google's BigQuery ML. You'll also find this book useful if you want to accelerate the development of ML models or if you are a business user who wants to apply ML in an easy way using SQL. Basic knowledge of BigQuery and SQL is required.
Machine Learning with BigQuery ML
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h28m total length
Introduction to Google Cloud and BigQuery
Setting Up Your GCP and BigQuery Environment
Introducing BigQuery Syntax
Predicting Numerical Values with Linear Regression
Predicting Boolean Values Using Binary Logistic Regression
Classifying Trees with Multiclass Logistic Regression
Clustering Using the K-Means Algorithm
Forecasting Using Time Series
Suggesting the Right Product by Using Matrix Factorization
Predicting Boolean Values Using XGBoost
Implementing Deep Neural Networks
Using BigQuery ML with AI Notebooks
Running TensorFlow Models with BigQuery ML
BigQuery ML Tips and Best Practices
Related Resources
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