June 2021
Intermediate to advanced
344 pages
6h 44m
English
Overview
This book "Machine Learning with BigQuery ML" serves as a comprehensive guide for leveraging BigQuery Machine Learning capabilities to build, evaluate, and deploy machine learning models. By working through its examples, readers will gain a thorough understanding of how to use SQL to create and manage ML models within BigQuery.
What this Book will help me do
- Learn to prepare datasets for effective ML modeling in BigQuery.
- Utilize BigQuery ML to predict business metrics with various models.
- Develop and train recommendation systems employing matrix factorization techniques.
- Integrate BigQuery ML models seamlessly with AI Notebooks for enhanced workflows.
- Discover advanced tips for tuning and optimizing ML performance in BigQuery.
Author(s)
None Marrandino is an experienced data scientist and educator specializing in machine learning and big data analytics. With years of working in cloud data platforms, None has a passion for teaching individuals how to apply advanced analytics using practical tools like SQL. Their approach is focused on clarity, practicality, and usefulness in real-world scenarios.
Who is it for?
Ideal for data scientists, analysts, and engineers looking to integrate ML capabilities directly into their BigQuery workflows. If you have some understanding of BigQuery and SQL and want to start solving business problems with scalable ML models, this book offers hands-on guidance and practical applications. Even business users seeking an SQL-friendly approach to machine learning can benefit greatly.
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