Cloud Native AI and Machine Learning on AWS: Use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services (English Edition)
Language: English
Published by BPB Publications, 2023
- Softcover
- Used
Seller: Greenworld Books, arlington, TX, U.S.A.Greenworld Books
AbeBooks seller since June 20, 2025
Condition: Used - Very good
£ 17.52
Quantity: 1 available
Add to basketItem description from seller
Fast Free Shipping – Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
Seller Inventory # GWV.9355513267.VG
- Title
- Cloud Native AI and Machine Learning on AWS: Use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services (English Edition)
- Author
- Rangarajan, Premkumar; Bounds, David
- Publisher
- BPB Publications
- Publication year
- 2023
- Condition
- very_good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9355513267
- ISBN 13
- 9789355513267
Bring elasticity and innovation to Machine Learning and AI operations
Key Features
● Coverage includes a wide range of AWS AI and ML services to help you speedily get fully operational with ML.
● Packed with real-world examples, practical guides, and expert data science methods for improving AI/ML education on AWS.
● Includes ready-made, purpose-built models as AI services and proven methods to adopt MLOps techniques.
Description
Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation.
In this book, you'll learn how to build data lakes, build and train machine learning models, automate MLOps, ensure maximum data reusability and reproducibility, and much more. The applications presented in the book show how to make the most of several different AWS offerings, including Amazon Comprehend, Amazon Rekognition, Amazon Lookout, and AutoML. This book teaches you to manage massive data lakes, train artificial intelligence models, release these applications into production, and track their progress in real-time. You will learn how to use the pre-trained models for various tasks, including picture recognition, automated data extraction, image/video detection, and anomaly detection.
Every step of your Machine Learning and AI project's development process is optimised throughout the book by utilising Amazon's pre-made, purpose-built AI services.
What you will learn
● Learn how to build, deploy, and manage large-scale AI and ML applications on AWS.
● Get your hands dirty with AWS AI services like SageMaker, Comprehend, Rekognition, Lookout, and AutoML.
● Master data transformation, feature engineering, and model training with Amazon SageMaker modules.
● Use neural networks, distributed learning, and deep learning algorithms to improve ML models.
● Use AutoML, SageMaker Canvas, and Autopilot for Model Deployment and Evaluation.
● Acquire expertise with Amazon SageMaker Studio, Jupyter Server, and ML frameworks such as TensorFlow and MXNet.
Who this book is for
Data Engineers, Data Scientists, AWS and Cloud Professionals who are comfortable with machine learning and the fundamentals of Python will find this book powerful. Familiarity with AWS would be helpful but is not required.
Table of Contents
1. Introducing the ML Workflow
2. Hydrating the Data Lake
3. Predicting the Future With Features
4. Orchestrating the Data Continuum
5. Casting a Deeper Net (Algorithms and Neural Networks)
6. Iteration Makes Intelligence (Model Training and Tuning)
7. Let George Take Over (AutoML in Action)
8. Blue or Green (Model Deployment Strategies)
9. Wisdom at Scale with Elastic Inference
10. Adding Intelligence with Sensory Cognition
11. AI for Industrial Automation
12. Operationalized Model Assembly (MLOps and Best Practices)
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Greenworld Books
arlington, TX, U.S.A.
AbeBooks seller since June 20, 2025
Shipping rates within U.S.A.
| Item | 4 to 8 business days | 4 to 8 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Payment methods
Specialty
Popular booksSeller's business information
Greenworldbooks
3703 Avenue E East
Arlington, TX U.S.A. 76011
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 Greenworld Books, Arlington, Texas, U.S.A., 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.