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Machine learning with BigQuery ML create, execute, and improve machine learning models in BigQuery using standard SQL queries /

Manage different business scenarios with the right machine learning technique using Google's highly scalable BigQuery ML Key Features Gain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to integrate them with BigQuery ML Leverage SQL...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Marrandino, Alessandro (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2021.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents 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.