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Serverless Machine Learning with Amazon Redshift - Create, train, and deploy machine learning models using familiar SQL commands (Paperback)
Loot Price: R1,166
Discovery Miles 11 660
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Serverless Machine Learning with Amazon Redshift - Create, train, and deploy machine learning models using familiar SQL commands (Paperback)
Expected to ship within 10 - 15 working days
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Total price: R1,186
Discovery Miles: 11 860
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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.
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