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Serverless Machine Learning with Amazon Redshift ML
Serverless Machine Learning with Amazon Redshift ML

Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands

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Profile Icon Debu Panda Profile Icon Phil Bates Profile Icon Bhanu Pittampally Profile Icon Sumeet Joshi
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€11.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Aug 2023 290 pages 1st Edition
eBook
€29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €11.99p/m
Arrow left icon
Profile Icon Debu Panda Profile Icon Phil Bates Profile Icon Bhanu Pittampally Profile Icon Sumeet Joshi
Arrow right icon
€11.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3 Ratings)
Paperback Aug 2023 290 pages 1st Edition
eBook
€29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €11.99p/m
eBook
€29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €11.99p/m

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Key benefits

  • Leverage supervised learning to build binary classification, multi-class classification, and regression models
  • Learn to use unsupervised learning using the K-means clustering method
  • Master the art of time series forecasting using Redshift ML
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models. The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift. By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.

Who is this book for?

Data scientists and machine learning developers working with Amazon Redshift who want to explore its machine-learning capabilities will find this definitive guide helpful. A basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to make the most of this book.

What you will learn

  • Utilize Redshift Serverless for data ingestion, data analysis, and machine learning
  • Create supervised and unsupervised models and learn how to supply your own custom parameters
  • Discover how to use time series forecasting in your data warehouse
  • Create a SageMaker endpoint and use that to build a Redshift ML model for remote inference
  • Find out how to operationalize machine learning in your data warehouse
  • Use model explainability and calculate probabilities with Amazon Redshift ML

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2023
Length: 290 pages
Edition : 1st
Language : English
ISBN-13 : 9781804619285
Category :
Languages :

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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Aug 30, 2023
Length: 290 pages
Edition : 1st
Language : English
ISBN-13 : 9781804619285
Category :
Languages :

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Frequently bought together


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Serverless Machine Learning with Amazon Redshift ML
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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(3 Ratings)
5 star 100%
4 star 0%
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1 star 0%
Vinita Sep 01, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book to learn serverless and ML on AWS
Amazon Verified review Amazon
Om S Sep 07, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Serverless Machine Learning with AWS Redshift - presents a comprehensive guide that demystifies the capabilities of Amazon Redshift Serverless, providing valuable insights for data professionals. The book adeptly merges the realms of SQL, data analytics, and machine learning, ensuring accessibility for a broad readership.The author skillfully navigates through the nuances of Redshift Serverless, offering readers a clear path to harness its potential for data ingestion, analytics, and machine learning. The inclusion of supervised and unsupervised model development, along with detailed examples, empowers readers to create predictive models confidently. Moreover, the book delves into Redshift ML, showcasing its aptitude for machine learning projects through SQL code.Notably, the book excels in explaining time-series forecasting within the data warehouse, a crucial asset for data professionals. It also provides valuable insights into model explainability and probability calculations with Amazon Redshift ML.This book is an invaluable resource for data scientists and machine learning developers working with Amazon Redshift. It seamlessly combines theory with practical implementation, guiding readers to proficiency in deploying and operationalizing machine learning models within the data warehouse. It stands as a valuable addition to the toolkit of data professionals venturing into AWS's machine learning capabilities.
Amazon Verified review Amazon
S.Kundu Oct 17, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Serverless Machine Learning with Amazon Redshift ML is an excellent read if you want to create, train and deploy machine learning models in Amazon Redshift.Few important topics of the book that I want to highlight are as below:The book will start by introducing Amazon Redshift Serverless concepts and will cover different data loading options using query editor, COPY command and API. It will explain how you can apply ML in Data Warehouse.The book will then teach you overview of Redshift ML and how you can build a machine learning model using it. It will cover different classification and regression models along with how you can train those models and evaluate the same. It will also cover building of unsupervised models with K-Means clustering.The book will then help you to learn on how to deploy your models. It will teach you how you can build your models using MLP and XGBoost along with guiding you on how you can bring your own models for Database Inference.Finally you will learn about Time series forecasting and how to create forecasting models using Redshift ML. The last part will cover on the topic of operationalizing and optimizing the models. You will learn about model quality, model explainability along with using SageMaker Autopilot notebooks.
Amazon Verified review Amazon
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