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Intelligent Document Processing with Azure Form Recognizer

Analytics Vidhya

Introduction Intelligent document processing (IDP) is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract information from unstructured documents such as invoices, receipts, and forms.

Azure 261
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Azure ML: start experimenting with Hugging Face models in minutes!

Julien Simon

In this video, I show you how to deploy Hugging Face models in one click on Azure, thanks to the model catalog in Azure ML Studio. link] To get started, you simply need to navigate to the Azure ML Studio website and open the model catalog. Then, I run a small Python example to predict with the model.

Azure 98
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Unleash the Power of Azure ML: Python Basics for Beginners

Towards AI

Author(s): Durgesh Samariya Originally published on Towards AI. A Hands-On Guide to Getting Started with Azure Machine Learning Using Python — Mastering Azure Machine Learning: Hands-On Python GuidePhoto by Fatos Bytyqi on Unsplash Hello Everyone! Log in with Azure Portal → [link] on “Create Resource” 3.

Azure 85
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Acceleration Unlocked: DS3_v2 Instance Types on Azure now supported by Photon

databricks

At Databricks, we offer maximal flexibility for choosing compute for ETL and ML/AI workloads. Staying true to the theme of flexibility, we announce.

ETL 186
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Azure AI Speech is here to streamline avatar-making 

Dataconomy

Step into a world where words not only speak but come alive with the magic of Azure AI Speech. Key components of Azure AI Speech Azure AI Speech is a comprehensive suite of services provided by Microsoft that leverages artificial intelligence (AI) and machine learning (ML) technologies to enhance and customize voice experiences.

Azure 103
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6 AI tools revolutionizing data analysis: Unleashing the best in business

Data Science Dojo

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. AI tools can automate many of the tasks involved in data analysis, and they can also help businesses to discover new insights from their data. Top 10 AI tools for data analysis AI Tools for Data Analysis 1.

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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning Blog

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

ML 117