Machine Learning Guide

SageMaker is an end-to-end machine learning platform on AWS that covers every stage of the ML lifecycle, including data ingestion, preparation, training, deployment, monitoring, and bias detection. The platform offers integrated tools such as Data Wrangler, Feature Store, Ground Truth, Clarify, Autopilot, and distributed training to enable scalable, automated, and accessible machine learning operations for both tabular and large data sets. Links Notes and resources at ocdevel.com/mlg/mla-15 Try a walking desk stay healthy & sharp while you learn & code Amazon SageMaker: The Machine Learning Operations Platform MLOps is deploying your ML models to the cloud. See MadeWithML for an overview of tooling (also generally a great ML educational run-down.) Introduction to SageMaker and MLOps SageMaker is a comprehensive platform offered by AWS for machine learning operations (MLOps), allowing full lifecycle management of machine learning models. Its popularity provides access to extensive resources, educ