|
Showing 1 - 3 of
3 matches in All Departments
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.
|
|