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Machine Learning with MATLAB and Amazon SageMaker

Flipboard

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. Our objective is to demonstrate the combined power of MATLAB and Amazon SageMaker using this fault classification example.

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. After a blueprint is configured, it can be used to create consistent environments across multiple AWS accounts and Regions using continuous deployment automation.

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Top MLOps Tools Guide: Weights & Biases, Comet and More

Unite.AI

MLOps , or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

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Improved ML model deployment using Amazon SageMaker Inference Recommender

AWS Machine Learning Blog

You need recommendations on finding the most cost-effective ML serving infrastructure and the right combination of software configuration to achieve the best price-performance to scale these applications. We train an XGBoost model for a classification task on a credit card fraud dataset. John Barboza is a Software Engineer at AWS.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

Optionally, if Account A and Account B are part of the same AWS Organizations, and the resource sharing is enabled within AWS Organizations, then the resource sharing invitation are auto accepted without any manual intervention. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.

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Grading Complex Interactive Coding Programs with Reinforcement Learning

The Stanford AI Lab Blog

Sometimes manual grading can be feasible in small settings, or automated grading used in simple settings such as when assignments are multiple choice or adopt a fill-in-the-blink modular coding structure. Automated grading on the code text alone can be an incredibly hard challenge, even for introductory level computer science assignments.