• views: 57
• date: 6 January 2026
• posted by: book24h

DESCRIPTION
Amazon Web Services is the world's most comprehensive and broadly adopted cloud computing platform, providing on-demand access to IT resources, such as computing power, database storage, and other essential services, over the internet with pay-as-you-go pricing. With its vast array of services and tools, AWS provides a scalable and flexible environment for developing, deploying, and managing ML models.
The purpose of the book is to empower individuals with basic AWS Cloud knowledge to leverage this advanced technology and obtain the coveted AWS Certified Machine Learning - Specialty certification. By mastering the intricacies of AWS ML services, readers can unlock new career opportunities and contribute to the ever-evolving field of ML. It guides the readers through the domains of data engineering, exploratory data analysis, modeling, and ML implementation and operations. Covering key concepts and practices, this guide equips individuals with fundamental AWS Cloud knowledge.
By the end of this book, readers will learn to create efficient data repositories, perform data transformation, sanitize and prepare data, engineer features, select and train ML models, optimize performance, build scalable solutions, leverage AWS ML services, apply security practices, and deploy operational ML solutions.
WHAT YOU WILL LEARN
● Design secure S3, EFS, and EBSrepositories, implement data ingestion solutions, and perform data transformation.
● Frame business problems; select supervised, unsupervised, or ensemble models.
● Sanitize and prepare data for modeling, perform feature engineering, and analyze data for ML.
●Solving ML problems by selecting and training appropriate ML models.
● Perform hyperparameter optimization, evaluate ML models, and build performant ML solutions.






   
   
   

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