Machine Learning with BigQuery ML

Machine Learning with BigQuery ML

eBook Details:

  • Paperback: 344 pages
  • Publisher: WOW! eBook (June 11, 2021)
  • Language: English
  • ISBN-10: 1800560303
  • ISBN-13: 978-1800560307

eBook Description:

Machine Learning with BigQuery ML: Manage different business scenarios with the right machine learning technique using Google’s highly scalable BigQuery ML

BigQuery ML enables you to easily build machine learning (ML) models with SQL without much coding. This Machine Learning with BigQuery ML 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.

  • Discover how to prepare datasets to build an effective ML model
  • Forecast business KPIs by leveraging various ML models and BigQuery ML
  • Build and train a recommendation engine to suggest the best products for your customers using BigQuery ML
  • Develop, train, and share a BigQuery ML model from previous parts with AI Platform Notebooks
  • Find out how to invoke a trained TensorFlow model directly from BigQuery
  • Get to grips with BigQuery ML best practices to maximize your ML performance

By the end of this Machine Learning with BigQuery ML book, you’ll be able to build and evaluate your own ML models with Google’s BigQuery ML.

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2 Responses

  1. January 6, 2022

    […] the end of this Graph Machine Learning book, you will have learned essential concepts of graph theory and all the algorithms and […]

  2. January 6, 2022

    […] the end of this Graph Machine Learning book, you will have learned essential concepts of graph theory and all the algorithms and […]

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