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

iebukes PACKT 145 次浏览 没有评论
Machine Learning with BigQuery ML: Create, execute, and improve machine learning models in BigQuery using standard SQL queries Front Cover

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

by Alessandro Marrandino
  • Length: 344 pages
  • Edition: 1
  • Publisher: Packt Publishing
  • Publication Date: 2021-06-11
  • ISBN-10: 1800560303
  • ISBN-13: 9781800560307
Description

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 syntax to train, evaluate, test, and use ML models
  • Discover how BigQuery works and understand the capabilities of BigQuery ML using examples

Book Description

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.

What you will learn

  • 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

Who this book is for

This book is for data scientists, data analysts, data engineers, and anyone looking to get started with Google’s BigQuery ML. You’ll also find this book useful if you want to accelerate the development of ML models or if you are a business user who wants to apply ML in an easy way using SQL. Basic knowledge of BigQuery and SQL is required.

Table of Contents

  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

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

 

 亲,网盘文件已删,下载链接已失效


因为,我,失业了!于是我老家十八线小县城找了份掏下水道的工作。。。
 
为了生活
 
我决定将iebueks电子网站由免费改为赞助入群:
 
一年45元
 
从百度网盘群满之日算起。
 
这45元除了最新的英文IT电子书,还包括:

免费找书服务,中文英文皆可

国内出版社出版的中文电子书  
中文电子书
2022年公考资料
2022年公考资料
2023年考研学习资料
2023年考研学习资料
人人素材网各种视频素材模板以及中文字幕教程
人人素材网

入群指南


扫描下面二维码关注微信公众号获取资源

微信公众号二维码

发表评论

您的电子邮箱地址不会被公开。 必填项已用*标注

Go