Robots And Empire

"Cloud Native AI and Machine Learning on AWS: Use SageMaker for building ML models, automate MLOps" by by Premkumar Rangarajan (Author), David Bounds (Author), published by BPB Publications. Bring elasticity and innovation to Machine Learning and AI operationsKey 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.DescriptionUsing 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… Book details: 589 pages, published 2023. Order now on BookShops.in with fast, reliable delivery across India.