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Free Download Linkedin - Responsible AI with Amazon SageMaker AI Released 03/2025 With Kesha Williams MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 20m 31s | Size: 192 MB Learn to implement ethical and transparent AI practices in your machine learning projects using tools built into Amazon SageMaker AI. Course details This course covers key topics such as detecting bias in datasets and models, explaining model predictions, and integrating responsible AI practices into your ML workflows using Amazon SageMaker Clarify. Gain hands-on experience with SageMaker's governance tools, including Role Manager, Model Cards, and Model Dashboard, to manage permissions, document models, and monitor performance. By the end of this course, you'll be equipped with the skills you need to build fairer, more explainable AI models and ensure compliance with ethical standards in AI. Whether you're a data scientist, ML engineer, or technical leader, instructor Kesha Williams covers the essentials of practicing responsible AI in your organization. Homepage: https://www.linkedin.com/learning/responsible-ai-with-amazon-sagemaker-ai DOWNLOAD NOW: Linkedin - Responsible AI with Amazon SageMaker AI Fileaxa https://fileaxa.com/23kuiopychpj/uftuo.Linkedin..Responsible.AI.with.Amazon.SageMaker.AI.rar TakeFile https://takefile.link/2blwyhl0s0dp/uftuo.Linkedin..Responsible.AI.with.Amazon.SageMaker.AI.rar.html Rapidgator https://rg.to/file/73a38bcc2af358fe3f0720f372823db5/uftuo.Linkedin..Responsible.AI.with.Amazon.SageMaker.AI.rar.html Fikper Free Download https://fikper.com/fiChJksc7n/uftuo.Linkedin..Responsible.AI.with.Amazon.SageMaker.AI.rar.html : No Password - Links are Interchangeable -
Free Download Detect Anomalies in Game Transactions with ML and Sagemaker by AWS Released 10/2024 By AWS MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 22m | Size: 91 MB Game studios that are building and operating multiple games tend to redo much of the server-side validation of transactional data received from game clients. Game studios that are building and operating multiple games tend to redo much of the server-side validation of transactional data received from game clients. This course covers the use of a central model (or multiple models per game) for offloading server processing and improving server response time. The course reviews the different anomalies associated with game transaction data and how machine learning (ML) can help perform validations. Homepage https://www.pluralsight.com/courses/detect-anomalies-game-transactions-ml-sagemaker Screenshot Rapidgator https://rg.to/file/e35b869a89fbcce2eac0af6d7d0f15c8/ebqrs.Detect.Anomalies.in.Game.Transactions.with.ML.and.Sagemaker.by.AWS.rar.html Fikper Free Download https://fikper.com/G9UnAszyZd/ebqrs.Detect.Anomalies.in.Game.Transactions.with.ML.and.Sagemaker.by.AWS.rar.html No Password - Links are Interchangeable
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Free Download Model Deployment with Amazon SageMaker Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 60.88 MB | Duration: 19m 42s Discover how to effectively deploy machine learning models using Amazon SageMaker. This course will teach you how to deploy, monitor, and optimize models in production, ensuring cost-effective and scalable solutions for your ML projects. Deploying machine learning models to production can be complex and challenging, often involving multiple tools and workflows. In this course, Model Deployment with Amazon SageMaker, you'll learn to efficiently deploy and manage models in production. First, you'll explore how to deploy models using SageMaker's various tools and endpoints. Next, you'll discover how to monitor, update, and manage these deployments. Finally, you'll learn how to optimize costs and manage resources effectively. When you're finished with this course, you'll have the skills and knowledge to confidently deploy and maintain models using Amazon SageMaker. Homepage https://www.pluralsight.com/courses/model-deployment-amazon-sagemaker TakeFile https://takefile.link/xzna5je7moxe/pegdf.Model.Deployment.with.Amazon.SageMaker.rar.html Rapidgator https://rg.to/file/2e0a96425f5343e958167597024f4dac/pegdf.Model.Deployment.with.Amazon.SageMaker.rar.html Fikper Free Download https://fikper.com/xGeq5F7kd7/pegdf.Model.Deployment.with.Amazon.SageMaker.rar.html No Password - Links are Interchangeable
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Free Download Introduction to Amazon SageMaker Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 61.56 MB | Duration: 20m 21s This course will teach you the basics of what the Amazon Sagemaker solution contains, exploring both the classic SageMaker environment, and the Amazon SageMaker Studio integrated development environment. In this course, Introduction to Amazon SageMaker, you'll learn to identify the components of the SageMaker environment. First, you'll explore Jupyter Notebooks. Next, you'll discover SageMaker Instances in the classic SageMaker Console. Finally, you'll learn how to connect to SageMaker Studio. When you're finished with this course, you'll have an introductory understanding of Amazon SageMaker. Homepage https://www.pluralsight.com/courses/amazon-sagemaker-introduction TakeFile https://takefile.link/itltkfqpsml5/ylvqa.Introduction.to.Amazon.SageMaker.rar.html Rapidgator https://rg.to/file/bf666010bc40bc654e951bd4be970fd3/ylvqa.Introduction.to.Amazon.SageMaker.rar.html Fikper Free Download https://fikper.com/Fk8AHQ168z/ylvqa.Introduction.to.Amazon.SageMaker.rar.html No Password - Links are Interchangeable
