Szczegóły ebooka

Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries

Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries

Alessandro Marrandino

Ebook
BigQuery ML enables you to easily build machine learning (ML) models with SQL without much coding. This book will help you to accelerate the development and deployment of ML models with BigQuery ML.

The book starts with a quick overview of Google Cloud and BigQuery architecture. You'll then learn how to configure a Google Cloud project, understand the architectural components and capabilities of BigQuery, and find out how to build ML models with BigQuery ML. The book teaches you how to use ML using SQL on BigQuery. You'll analyze the key phases of a ML model's lifecycle and get to grips with the SQL statements used to train, evaluate, test, and use a model. As you advance, you'll build a series of use cases by applying different ML techniques such as linear regression, binary and multiclass logistic regression, k-means, ARIMA time series, deep neural networks, and XGBoost using practical use cases. Moving on, you'll cover matrix factorization and deep neural networks using BigQuery ML's capabilities. Finally, you'll explore the integration of BigQuery ML with other Google Cloud Platform components such as AI Platform Notebooks and TensorFlow along with discovering best practices and tips and tricks for hyperparameter tuning and performance enhancement.

By the end of this BigQuery book, you'll be able to build and evaluate your own ML models with BigQuery ML.
  • 1. Introduction to Google Cloud and BigQuery
  • 2. Setting Up Your GCP and BigQuery Environment
  • 3. Introducing BigQuery Syntax
  • 4. Predicting Numerical Values with Linear Regression
  • 5. Predicting Boolean Values Using Binary Logistic Regression
  • 6. Classifying Trees with Multiclass Logistic Regression
  • 7. Clustering Using the K-Means Algorithm
  • 8. Forecasting Using Time Series
  • 9. Suggesting the Right Product by Using Matrix Factorization
  • 10. Predicting Boolean Values Using XGBoost
  • 11. Implementing Deep Neural Networks
  • 12. Using BigQuery ML with AI Notebooks
  • 13. Running TensorFlow Models with BigQuery ML
  • 14. BigQuery ML Tips and Best Practices
  • Tytuł: Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
  • Autor: Alessandro Marrandino
  • Tytuł oryginału: Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
  • ISBN: 9781800562189, 9781800562189
  • Data wydania: 2021-06-11
  • Format: Ebook
  • Identyfikator pozycji: e_2a4q
  • Wydawca: Packt Publishing