by Michael Hsieh (Author) Build production-grade machine learning models with Amazon SageMaker Studio, the first integrated development environment in the cloud, using real-life machine learning examples and code Key Features: * Understand the ML lifecycle in the cloud and its development on Amazon SageMaker Studio * Learn to apply SageMaker features in SageMaker Studio for ML use cases * Scale and operationalize the ML lifecycle effectively using SageMaker Studio Book Description: Amazon SageMaker Studio is the first integrated development environment (IDE) for machine learning (ML) and is designed to integrate ML workflows: data preparation, feature engineering, statistical bias detection, automated machine learning (AutoML), training, hosting, ML explainability, monitoring, and MLOps in one environment.