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.

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 build Multi-Class Classification Models * Create a model, validate a model and draw conclusion from K-means clustering * Learn to create a SageMaker endpoint and use that to create a Redshift ML Model for remote inference Book Description Amazon Redshift Serverless enables organizations to run PetaBytes scales Cloud data warehouses in minutes and in most cost effective way Developers, data analysts and BI analysts can deploy cloud data warehouses and use easy-to-use tools to train models and run predictions. Developers working with Amazon Redshift data warehouses will be able to 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 then 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, 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 * Learn how to implement an end-to-end serverless architecture for ingestion, analytics and machine learning using Redshift Serverless and Redshift ML * Learn how to create supervised and unsupervised models, and various techniques to influence your model * Learn how to run inference queries at scale in Redshift to solve a variety of business problems using models created with Redshift ML or natively in Amazon SageMaker * Learn how to optimize your Redshift data warehouse for extreme performance * Learn how to ensure you are using proper security guidelines with Redshift ML * Learn how to use model explainability in Amazon Redshift ML, to help understand how each attribute in your training data contributes to the predicted result. Who This Book Is For Data 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.