Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML and run inference queries at scale. Key Features Learn to use Supervised Learning to build Binary Classification, Multi-class Classificaion and Regression models. Learn to use Unsupervised learning using the K-means clusteringclustering. Learn to create a SageMaker endpoint and use that to create a Redshift ML Model for remote inference. Book DescriptionAmazon Redshift Serverless enables organizations to run petabytes scale cloud data warehouses in minutes and in the most cost-effective way Developers, data scientists, and data professionals can deploy cloud data warehouses and use easy-to-use tools to train models and run predictions. Data Science professinals working with Amazon Redshift data warehouses can put their SQL knowledge to work with this practical guide to train and deploy Machine Learning Models. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin Deploying and Using Amazon Redshift Serverless and dive into learning and deploying various types of Machine learning projects using familiar SQL Code. You will learn how to configure and deploy Amazon Redshift Serverless, and understand the foundations of data analytics and types of data machine learning. Then you will deep dive into Redshift ML .By the end of this book, you will 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.What you will learn Using Redshift Serverless forServerless for data ingestion, data analysis and machine learning Create supervised and unsupervised models and how to supply your own custom paramaters Create supervised and unsupervised models and how to supply your own custom paramaters Using Time Series forecasting in your data warehouse Operationalizing machine learning in your data warehouse Using model explainability and calculating probailities with Amazon Redshift ML Who this book is forData Scientists and Machine Learning developers who work with Amazon Redshift and want to explore it's machine learning capabilities will find this definitive guide helpful. Basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to get the best from this book.

Book Information
ISBN 9781804619285
Author Debabrata Panda
Format Paperback
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited