Remove tag linux
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Integrate HyperPod clusters with Active Directory for seamless multi-user login

AWS Machine Learning Blog

Also, in the setup steps, you will use a Linux machine to generate a self-signed certificate and obtain an obfuscated password for the AD reader user. If you don’t have a Linux machine, you can create an EC2 Linux instance or use AWS CloudShell. Add any optional tags, then choose Next. Create an EC2 Linux instance.

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How to Set Up MLflow on AWS with Terraform: A Step-by-Step Guide

Dlabs.ai

file that will hold our tags: locals { # Common tags to be assigned to all resources tags = { Name = "mlflow-terraform" Environment = var.env } } Main file In main.tf , we will insert our basic configuration; the version should be the latest available. The image needs to be pushed with the tag latest.

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Machine Learning with MATLAB and Amazon SageMaker

Flipboard

Prerequisites Working environment of MATLAB 2023a or later with MATLAB Compiler and the Statistics and Machine Learning Toolbox on Linux. Here  Either Ubuntu or Linux. Copy this repo to a folder in your Linux machine by running: git clone [link] Check the permission on the repo folder. Install Python if necessary.

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How to Deploy Machine Learning models on AWS Lambda using Docker

Pragnakalp

The lambda function requires the amazon Linux 2 in the docker container so we are using the public.ecr.aws/lambda/python:3.8 We have already created the docker image so skip the second step and run the third command to tag the created image. Copy the URI of the image we’ll need this while creating the lambda function.

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Personalizing Heart Rate Prediction

Bugra Akyildiz

It also contains rich information from the web pages, such as visual representation rendered by web browsers, raw HTML structure, clean text, semantic annotations, language and topic tags labeled by industry document understanding systems, etc.

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Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

AWS Machine Learning Blog

Git commit: afdd53b Built: Thu Oct 26 09:07:41 2023 OS/Arch: linux/amd64 Context: default Server: Engine: Version: 20.10.25 Git commit: 5df983c Built: Fri Oct 13 22:46:59 2023 OS/Arch: linux/amd64 Experimental: false containerd: Version: 1.7.2 Re-tag the build as an ECR image and push. Dockerfile.

ML 96
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Transcribe a phone call in real-time using Python with AssemblyAI and Twilio

AssemblyAI

Now create and activate a virtual environment for the project: # Mac/Linux python3 -m venv venv. In our case, we use <Say> tags that tell Twilio to speak the sentence between the tags to the caller. Additionally, it will prevent you from tracking/uploading your virtual environment and cache files.

Python 147