Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
Language: English
Published by Packt Publishing Limited, 2023
- Softcover
- New

Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
AbeBooks seller since June 14, 2006
Condition: New
£ 50.63
Quantity: Over 20 available
Add to basketItem description from seller
This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Seller Inventory # C9781804619285
- Title
- Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands
- Author
- Debabrata Panda
- Publisher
- Packt Publishing Limited
- Publication year
- 2023
- Condition
- New
- Binding
- Paperback / softback
- Language
- English
- ISBN 10
- 1804619280
- ISBN 13
- 9781804619285
- Item weight
- 100 grams
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.
Table of Contents
- Introduction to Redshift Serverless
- Data Loading and analytics on Redshift Serverless
- Applying Machine Learning in Your Warehouse
- Redshift ML Overview
- Building your first model
- Building classification models
- Building Regression models
- Building Unsupervised Models with K-Means Clustering
- Redshift Auto ON vs Auto OFF
- Creating models with XGBoost
- Bring Your Own Models for in database inference
- Bring Your Own Models for in remote endpoint invocation
- Performance Considerations
- Personalizing/Operationalizing
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
THE SAINT BOOKSTORE
Southport, United Kingdom
AbeBooks seller since June 14, 2006
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 28 business days | 7 to 28 business days |
|---|---|---|
| First item | £ 11.75 | £ 13.75 |
Payment methods
Store description
The Saint Bookstore has a range of over 1 million titles available.
Specialty
GeneralSeller's business information
SB ONLINE LTD
50 Devonshire Road
Southport, United Kingdom PR9 7BZ
Terms of sale
Please order through the Abebooks checkout. We only take orders through Abebooks - We don't take direct orders by email or phone.
Refunds or Returns: A full refund of the purchase price will be given if returned within 30 days in undamaged condition.
As a seller on abebooks we adhere to the terms explained at http://www.abebooks.co.uk/docs/HelpCentral/buyerIndex.shtml - if you require further assistance please email us at orders@thesaintbookstore.co.uk
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to THE SAINT BOOKSTORE, Southport, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Most orders usually ship within 1-3 business days, but some can take up to 7 days.