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“…Amazon SageMaker enables you to quickly build, train and deploy machine learning models at scale without managing any infrastructure. …”

Tabla de Contenidos: “…Table of Contents Getting Started with Machine Learning Using Amazon SageMaker Building and Using your own Algorithm Container Image Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker Preparing, Processing, and Analyzing the Data Effectively Managing Machine Learning Experiments Automated Machine Learning in Amazon SageMaker Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms Managing Machine Learning Workflows and Deployments…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1 - Introduction to Machine Learning on Amazon SageMaker Studio -- Chapter 1: Machine Learning and Its Life Cycle in the Cloud -- Technical requirements -- Understanding ML and its life cycle -- An ML life cycle -- Building ML in the cloud -- Exploring AWS essentials for ML -- Compute -- Storage -- Database and analytics -- Security -- Setting up an AWS environment -- Summary -- Chapter 2: Introducing Amazon SageMaker Studio -- Technical requirements -- Introducing SageMaker Studio and its components -- Prepare -- Build -- Training and tuning -- Deploy -- MLOps -- Setting up SageMaker Studio -- Setting up a domain -- Walking through the SageMaker Studio UI -- The main work area -- The sidebar -- Hello world!" …”