Phil Bates

Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale Key Features 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 Book DescriptionAmazon 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.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 Who this book is forData 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.

?Focused content, layout and price - Routledge competes and wins in relation to all of these factors? - Craig Lind, University of Sussex, UK ?The best value and best format books on the market.? - Ed Bates, Southampton University, UK Routledge Student Statutes present all the legislation students need in one easy-to-use volume. Developed in response to feedback from lecturers and students, this book offer a fully up-to-date, comprehensive, and clearly presented collection of legislation - ideal for LLB and GDL course and exam use. Routledge Student Statutes are: Exam Friendly: un-annotated and conforming to exam regulations Tailored to fit your course: 80% of lecturers we surveyed agree that Routledge Student Statutes match their course and cover the relevant legislation Trustworthy: Routledge Student Statutes are compiled by subject experts, updated annually and have been developed to meet student needs through extensive market research Easy to use: a clear text design, comprehensive table of contents, multiple indexes and highlighted amendments to the law make these books the most student-friendly Statutes on the market Competitively Priced: Routledge Student Statutes offer content and usability rated as good or better than our major competitor, but at a more competitive price Supported by a Companion Website: presenting scenario questions for interpreting Statutes, annotated web links, and multiple-choice questions, these resources are designed to help students to be confident and prepared.

‘Focused content, layout and price - Routledge competes and wins in relation to all of these factors’ - Craig Lind, University of Sussex, UK ‘The best value and best format books on the market.’ - Ed Bates, Southampton University, UK Routledge Student Statutes present all the legislation students need in one easy-to-use volume. Developed in response to feedback from lecturers and students, this book offer a fully up-to-date, comprehensive, and clearly presented collection of legislation - ideal for LLB and GDL course and exam use. Routledge Student Statutes are: • Exam Friendly: un-annotated and conforming to exam regulations • Tailored to fit your course: 80% of lecturers we surveyed agree that Routledge Student Statutes match their course and cover the relevant legislation • Trustworthy: Routledge Student Statutes are compiled by subject experts, updated annually and have been developed to meet student needs through extensive market research • Easy to use: a clear text design, comprehensive table of contents, multiple indexes and highlighted amendments to the law make these books the most student-friendly Statutes on the market Competitively Priced: Routledge Student Statutes offer content and usability rated as good or better than our major competitor, but at a more competitive price • Supported by a Companion Website: presenting scenario questions for interpreting Statutes, annotated web links, and multiple-choice questions, these resources are designed to help students to be confident and prepared.