
Machine Learning with BigQuery ML (2021) Ebook


Machine Learning with BigQuery ML (2021) Ebook - Najlepsze oferty
Machine Learning with BigQuery ML (2021) Ebook - Opis
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. Spis treści: 1. Introduction to Google Cloud and BigQuery2. Setting Up Your GCP and BigQuery Environment3. Introducing BigQuery Syntax4. Predicting Numerical Values with Linear Regression5. Predicting Boolean Values (...) więcej Using Binary Logistic Regression6. Classifying Trees with Multiclass Logistic Regression7. Clustering Using the K-Means Algorithm8. Forecasting Using Time Series9. Suggesting the Right Product by Using Matrix Factorization10. Predicting Boolean Values Using XGBoost11. Implementing Deep Neural Networks12. Using BigQuery ML with AI Notebooks13. Running TensorFlow Models with BigQuery ML14. BigQuery ML Tips and Best Practices O autorze: Alessandro Marrandino is a Google Cloud customer engineer. He helps various enterprises in the digital transformation journey through the adoption of cloud technologies. He is actively focused on and experienced in data management and smart analytics solutions. He has spent his entire career on data and artificial intelligence projects for global companies in different industries. mniejMachine Learning with BigQuery ML (2021) Ebook - Opinie i recenzje
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