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Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
FinTech Foundations and Overview
Understanding Medical Research: Your Facebook Friend is Wrong
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Découvrez comment affiner les modèles ML en évitant le surajustement, en optimisant les hyperparamètres et en utilisant des techniques d'ensemble avec Amazon SageMaker pour améliorer les performances de vos modèles.
Entdecke Methoden zur Optimierung von ML-Modellen: Vermeide Verzerrungen, verhindere Über- und Unteranpassung, kombiniere Modelle und nutze Hyperparameter-Optimierung mit Amazon SageMaker für bessere Ergebnisse.
掌握機器學習模型精簡技術,包括偏差緩解、防止過度擬合、模型組合、超參數調校、模型大小管理及使用Amazon SageMaker進行版本控制,提升您的ML工程能力。
Explore how to migrate on-premises NFS using AWS DataSync and Storage Gateway, learning to deploy agents, create replication tasks, and configure file shares for secure, low-latency data access.
Discover the fundamentals of AWS Web Application Firewall (WAF), including use cases, configuration in the AWS Management Console, and practical applications for technical and business professionals.
Discover how to distribute application traffic across AWS targets using Elastic Load Balancing (ELB) to improve availability and fault tolerance in your cloud architecture.
Discover how to store, transform, and analyze healthcare data using AWS HealthLake, a HIPAA-eligible service that utilizes FHIR standards for unified health information management at scale.
Discover Amazon Q Developer's essential features and benefits for enhancing your software development workflow with this AI-powered tool designed to streamline the development lifecycle.
Discover how to set up Amazon Q Developer in your IDE, understand service tiers, and configure it as an individual or enterprise user in this fundamental guide.
Master the technical aspects of publishing AMI, container, and SaaS products in AWS Marketplace with hands-on labs designed for prospective and existing AWS sellers.
Gain insights into building a serverless app with Amazon Bedrock LLMs by creating Lambda functions, configuring API Gateway, and connecting to a frontend that generates flashcards from study notes.
Dive into building Python functions with AWS SDK to invoke Amazon Bedrock models, generate text/images with Titan, and integrate with other AWS AI services in a hands-on lab environment.
Gain insights into using Amazon Q Developer to identify and fix security vulnerabilities in code, understand existing codebases, and leverage AI assistance for Python development and AWS deployment.
This course introduces you to AI technology, focusing on how different models work and their practical applications.
Accelerate your AI expertise by diving deep into AWS AI services and solution architecture. This course guides you through evaluating and implementing AWS AI services for tasks ranging from generative AI to computer vision.
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